Browse by UCL people
Group by: Type | Date
Number of items: 93.
2025
Li, Zonglun;
Andreev, Andrey;
Hramov, Alexander;
Blyuss, Oleg;
Zaikin, Alexey;
(2025)
Novel efficient reservoir computing methodologies for regular and irregular time series classification.
pp. 4045-4062.
10.1007/s11071-024-10244-3.
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Sun, Haeun;
Ishbulatov, Yurii;
Karavaev, Anatoly;
Zakharov, Denis;
Zaikin, Alexey;
(2025)
A thermodynamic model of the REM-NREM sleep cycle.
Chaos, Solitons & Fractals
, 190
, Article 115732. 10.1016/j.chaos.2024.115732.
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Zaikin, Alexey;
Sviridov, Ivan;
Oganezova, Janna G;
Menon, Usha;
Gentry-Maharaj, Aleksandra;
Timms, John F;
Blyuss, Oleg;
(2025)
Synolitic Graph Neural Networks of High-Dimensional Proteomic Data Enhance Early Detection of Ovarian Cancer.
Cancers
, 17
(24)
, Article 3972. 10.3390/cancers17243972.
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2024
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Banerjee, A;
Ivan, M;
Nazarenko, T;
Solda, R;
Bredaki, EF;
Casagrandi, D;
Tetteh, A;
... David, AL; + view all
(2024)
Prediction of spontaneous preterm birth in women with previous full dilatation cesarean delivery.
American Journal of Obstetrics and Gynecology MFM
, 6
(3)
, Article 101298. 10.1016/j.ajogmf.2024.101298.
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Fedorec, Alex JH;
Treloar, Neythen J;
Wen, Ke Yan;
Dekker, Linda;
Ong, Qing Hsuan;
Jurkeviciute, Gabija;
Lyu, Enbo;
... Barnes, Chris P; + view all
(2024)
Emergent digital bio-computation through spatial diffusion and engineered bacteria.
Nature Communications
, 15
, Article 4896. 10.1038/s41467-024-49264-3.
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Kanakov, O;
Chen, S;
Zaikin, A;
(2024)
Learning by selective plasmid loss for intracellular synthetic classifiers.
Chaos, Solitons and Fractals
, 179
, Article 114408. 10.1016/j.chaos.2023.114408.
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Krivonosov, Mikhail;
Nazarenko, Tatiana;
Ushakov, Vadim;
Vlasenko, Daniil;
Zakharov, Denis;
Chen, Shangbin;
Blyus, Oleg;
(2024)
Analysis of Multidimensional Clinical and Physiological Data with Synolitical Graph Neural Networks.
Technologies
, 13
(1)
, Article 13. 10.3390/technologies13010013.
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2023
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Gordleeva, Susanna;
Tsybina, Yuliya A;
Krivonosov, Mikhail I;
Tyukin, Ivan Y;
Kazantsev, Victor B;
Zaikin, Alexey;
Gorban, Alexander N;
(2023)
Situation-Based Neuromorphic Memory in Spiking Neuron-Astrocyte Network.
IEEE Transactions on Neural Networks and Learning Systems
10.1109/TNNLS.2023.3335450.
(In press).
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Semyachkina-Glushkovskaya, O;
Fedosov, I;
Zaikin, A;
Ageev, V;
Ilyukov, E;
Myagkov, D;
Tuktarov, D;
... Kurths, J; + view all
(2023)
Technology of the photobiostimulation of the brain’s drainage system during sleep for improvement of learning and memory in male mice.
Biomedical Optics Express
, 15
(1)
pp. 44-58.
10.1364/BOE.505618.
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Sushentsev, N;
Abrego, L;
Colarieti, A;
Sanmugalingam, N;
Stanzione, A;
Zawaideh, JP;
Caglic, I;
... Barrett, T; + view all
(2023)
Using a Recurrent Neural Network To Inform the Use of Prostate-specific Antigen (PSA) and PSA Density for Dynamic Monitoring of the Risk of Prostate Cancer Progression on Active Surveillance.
European Urology Open Science
, 52
pp. 36-39.
10.1016/j.euros.2023.04.002.
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Sushentsev, N;
Rundo, L;
Abrego, L;
Li, Z;
Nazarenko, T;
Warren, AY;
Gnanapragasam, VJ;
... Blyuss, O; + view all
(2023)
Time series radiomics for the prediction of prostate cancer progression in patients on active surveillance.
European Radiology
10.1007/s00330-023-09438-x.
(In press).
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Vlasenko, DV;
Zaikin, AA;
Zakharov, DG;
(2023)
Classification of brain activity using synolitic networks.
Izvestiya Vysshikh Uchebnykh Zavedeniy. Prikladnaya Nelineynaya Dinamika
, 31
(5)
pp. 661-669.
10.18500/0869-6632-003062.
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2022
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Demichev, V;
Tober-Lau, P;
Nazarenko, T;
Lemke, O;
Kaur Aulakh, S;
Whitwell, HJ;
Röhl, A;
... Ralser, M; + view all
(2022)
A proteomic survival predictor for COVID-19 patients in intensive care.
PLOS Digital Health
, 1
(1)
, Article e0000007. 10.1371/journal.pdig.0000007.
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Efremov, Y;
Ermolaeva, A;
Vladimirov, G;
Gordleeva, S;
Svistunov, A;
Zaikin, A;
Timashev, P;
(2022)
A mathematical model of in vitro hepatocellular cholesterol and lipoprotein metabolism for hyperlipidemia therapy.
PLoS ONE
, 17
(6)
, Article e0264903. 10.1371/journal.pone.0264903.
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Krivonosov, M;
Nazarenko, T;
Bacalini, MG;
Vedunova, M;
Franceschi, C;
Zaikin, A;
Ivanchenko, M;
(2022)
Age-related trajectories of DNA methylation network markers: A parenclitic network approach to a family-based cohort of patients with Down Syndrome.
Chaos, Solitons and Fractals
, 165
(Part 2)
, Article 112863. 10.1016/j.chaos.2022.112863.
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Krivonosov, M;
Nazarenko, T;
Bacalini, MG;
Vedunova, MV;
Franceschi, C;
Zaikin, A;
Ivanchenko, M;
(2022)
Age-related trajectories of DNA methylation network markers: a parenclitic network approach to a family-based cohort of patients with Down Syndrome.
bioRxiv: Cold Spring Harbor, NY, USA.
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Li, J;
Zaikin, A;
Zhang, X;
Chen, S;
(2022)
Editorial: Closed-loop iterations between neuroscience and artificial intelligence.
Frontiers in Systems Neuroscience
, 16
, Article 1002095. 10.3389/fnsys.2022.1002095.
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Li, Zonglun;
Fattah, Alya;
Timashev, Peter;
Zaikin, Alexey;
(2022)
An Account of Models of Molecular Circuits for Associative Learning with Reinforcement Effect and Forced Dissociation.
Sensors
, 22
(15)
, Article 5907. 10.3390/s22155907.
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Li, Zonglun;
Tsybina, Yuliya;
Gordleeva, Susanna;
Zaikin, Alexey;
(2022)
Impact of Astrocytic Coverage of Synapses on the Short-Term Memory of a Computational Neuron-Astrocyte Network.
Mathematics
, 10
(18)
, Article 3275. 10.3390/math10183275.
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Tsybina, Yuliya;
Kastalskiy, Innokentiy;
Krivonosov, Mikhail;
Zaikin, Alexey;
Kazantsev, Victor;
Gorban, Alexander N;
Gordleeva, Susanna;
(2022)
Astrocytes mediate analogous memory in a multi-layer neuron-astrocyte network.
Neural Computing and Applications
10.1007/s00521-022-06936-9.
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Zhao, A;
Ermolaeva, A;
Ullner, E;
Kurths, J;
Gordleeva, S;
Zaikin, A;
(2022)
Noise-induced artificial intelligence.
Physical Review Research
, 4
(4)
, Article 043069. 10.1103/PhysRevResearch.4.043069.
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2021
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Abrego, L;
Gordleeva, S;
Kanakov, O;
Krivonosov, M;
Zaikin, A;
(2021)
Estimating integrated information in bidirectional neuron-astrocyte communication.
Physical Review E
, 103
(2)
10.1103/PhysRevE.103.022410.
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Bulanov, N;
Suvorov, AY;
Blyuss, OB;
Munblit, DB;
Butnaru, DV;
Nadinskaia, MY;
Zaikin, AA;
(2021)
Basic principles of descriptive statistics in medical research.
Sechenov Medical Journal
, 12
(3)
pp. 4-16.
10.47093/2218-7332.2021.12.3.4-16.
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Bulanov, NM;
Blyuss, OB;
Munblit, DB;
Nekliudov, NA;
Butnaru, DV;
Kodzoeva, KB;
Nadinskaia, M Yu;
(2021)
Studies and research design in medicine.
Sechenov Medical Journal
, 12
(1)
pp. 4-17.
10.47093/2218-7332.2021.12.1.4-17.
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Demichev, V;
Tober-Lau, P;
Lemke, O;
Nazarenko, T;
Thibeault, C;
Whitwell, H;
Röhl, A;
... Kurth, F; + view all
(2021)
A time-resolved proteomic and prognostic map of COVID-19.
Cell Systems
10.1016/j.cels.2021.05.005.
(In press).
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Gordleeva, SY;
Tsybina, YA;
Krivonosov, MI;
Ivanchenko, MV;
Zaikin, AA;
Kazantsev, VB;
Gorban, AN;
(2021)
Modeling Working Memory in a Spiking Neuron Network Accompanied by Astrocytes.
Front Cellular Neuroscience
, 15
, Article 631485. 10.3389/fncel.2021.631485.
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Liu, L;
Gao, H;
Zaikin, A;
Chen, S;
(2021)
Unraveling Aβ-Mediated Multi-Pathway Calcium Dynamics in Astrocytes: Implications for Alzheimer's Disease Treatment From Simulations.
Frontiers in Physiology
, 12
, Article 767892. 10.3389/fphys.2021.767892.
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Nazarenko, T;
Blyuss, O;
Whitwell, H;
Zaikin, A;
(2021)
Ensemble of correlation, parenclitic and synolitic graphs as a tool to detect universal changes in complex biological systems.
Physics of Life Reviews
, 38
pp. 120-123.
10.1016/j.plrev.2021.05.009.
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Nazarenko, T;
Whitwell, HJ;
Blyuss, O;
Zaikin, A;
(2021)
Parenclitic and Synolytic Networks Revisited.
Frontiers in Genetics
, 12
, Article 733783. 10.3389/fgene.2021.733783.
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Shinde, Pramod;
Whitwell, Harry J;
Verma, Rahul Kumar;
Ivanchenko, Mikhail;
Zaikin, Alexey;
Jalan, Sarika;
(2021)
Impact of modular mitochondrial epistatic interactions on the evolution of human subpopulations.
Mitochondrion
, 58
pp. 111-122.
10.1016/j.mito.2021.02.004.
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Tsybina, Y;
Gordleeva, S;
Krivonosov, M;
Kastalskiy, I;
Zaikin, A;
Gorban, A;
(2021)
Modelling working memory in neuron-astrocyte network.
In:
Proceedings of the International Joint Conference on Neural Networks.
(pp. pp. 1-6).
Institute of Electrical and Electronics Engineers (IEEE)
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Vershinina, O;
Bacalini, MG;
Zaikin, A;
Franceschi, C;
Ivanchenko, M;
(2021)
Disentangling age-dependent DNA methylation: deterministic, stochastic, and nonlinear.
Scientific Reports
, 11
, Article 9201. 10.1038/s41598-021-88504-0.
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2020
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Bulanov, NМ;
Blyuss, OB;
Munblit, DB;
Nazarenko, TV;
Butnaru, DV;
Nadinskaia, MY;
Zaikin, AA;
(2020)
Venn diagrams and probability in clinical research.
Sechenov Medical Journal
, 11
(4)
pp. 5-14.
10.47093/2218-7332.2020.11.4.5-14.
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Chen, S;
Zaikin, A;
(2020)
Editorial: Multiscale Modeling of Rhythm, Pattern and Information Generation: from Genome to Physiome.
Frontiers in Physiology
, 11
, Article 281. 10.3389/fphys.2020.00281.
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Gentry-Maharaj, A;
Blyuss, O;
Ryan, A;
Burnell, M;
Karpinskyj, C;
Gunu, R;
Kalsi, JK;
... Menon, U; + view all
(2020)
Multi-Marker Longitudinal Algorithms Incorporating HE4 and CA125 in Ovarian Cancer Screening of Postmenopausal Women.
Cancers
, 12
(7)
, Article 1931. 10.3390/cancers12071931.
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Gordleeva, Susanna;
Kanakov, Oleg;
Ivanchenko, Mikhail;
Zaikin, Alexey;
Franceschi, Claudio;
(2020)
Brain aging and garbage cleaning : Modelling the role of sleep, glymphatic system, and microglia senescence in the propagation of inflammaging.
Seminars in Immunopathology
, 42
(5)
pp. 647-665.
10.1007/s00281-020-00816-x.
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Kanakov, O;
Gordleeva, S;
Zaikin, A;
(2020)
Integrated Information in the Spiking-Bursting Stochastic Model.
ENTROPY
, 22
(12)
10.3390/e22121334.
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Korsunskiy, I;
Blyuss, O;
Gordukova, M;
Davydova, N;
Zaikin, A;
Zinovieva, N;
Zimin, S;
... Munblit, D; + view all
(2020)
Expanding TREC and KREC Utility in Primary Immunodeficiency Diseases Diagnosis.
Frontiers in Immunology
, 11
, Article 320. 10.3389/fimmu.2020.00320.
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Krivonosov, M;
Nazarenko, T;
Bacalini, MG;
Zaikin, A;
Ivanchenko, M;
Franceschi, C;
(2020)
Network markers of DNA methylation in neurodegenerative diseases.
In:
Proceedings of the 2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR).
(pp. pp. 138-139).
IEEE: Innopolis, Russia.
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Tsybina, Y;
Krivonosov, M;
Gordleeva, S;
Zaikin, A;
Gorban, A;
(2020)
Short-term memory in neuron-astrocyte network.
In:
Proceedings of the 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR) 2020.
(pp. pp. 245-247).
Institute of Electrical and Electronics Engineers (IEEE)
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Whitwell, HJ;
Bacalini, MG;
Blyuss, O;
Chen, S;
Garagnani, P;
Gordleeva, SY;
Jalan, S;
... Zaikin, A; + view all
(2020)
The Human Body as a Super Network: Digital Methods to Analyze the Propagation of Aging.
Frontiers in Aging Neuroscience
, 12
, Article 136. 10.3389/fnagi.2020.00136.
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Whitwell, HJ;
Worthington, J;
Blyuss, O;
Gentry-Maharaj, A;
Ryan, A;
Gunu, R;
Kalsi, J;
... Timms, JF; + view all
(2020)
Improved early detection of ovarian cancer using longitudinal multimarker models.
British Journal of Cancer
10.1038/s41416-019-0718-9.
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2019
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Abrego, L;
Zaikin, A;
(2019)
Integrated information as a measure of cognitive processes in coupled genetic repressilators.
Entropy
, 21
(4)
, Article 382. 10.3390/e21040382.
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Blyuss, O;
Zaikin, A;
Cherepanova, V;
Munblit, D;
Kiseleva, EM;
Prytomanova, OM;
Duffy, SW;
(2019)
Development of PancRISK, a urine biomarker-based risk score for stratified screening of pancreatic cancer patients.
British Journal of Cancer
10.1038/s41416-019-0694-0.
(In press).
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Gordleeva, SY;
Lotareva, YA;
Krivonosov, MI;
Zaikin, AA;
Ivanchenko, MV;
Gorban, AN;
(2019)
Astrocytes organize associative memory.
In:
Advances in Neural Computation, Machine Learning, and Cognitive Research III.
(pp. pp. 384-391).
Springer Nature: Cham, Switzerland.
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Kanakov, O;
Gordleeva, S;
Ermolaeva, A;
Jalan, S;
Zaikin, A;
(2019)
Astrocyte-induced positive integrated information in neuron-astrocyte ensembles.
Physical Review E
, 99
(1)
10.1103/PhysRevE.99.012418.
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Shinde, P;
Marrec, L;
Rai, A;
Yadav, A;
Kumar, R;
Ivanchenko, M;
Zaikin, A;
(2019)
Symmetry in cancer networks identified: Proposal for multicancer biomarkers.
Network Science
, 7
(4)
pp. 541-555.
10.1017/nws.2019.55.
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2018
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Blyuss, O;
Burnell, M;
Ryan, A;
Gentry-Maharaj, A;
Marino, I;
Kalsi, J;
Manchanda, R;
... Menon, U; + view all
(2018)
Comparison of longitudinal CA125 algorithms as a first line screen for ovarian cancer in the general population.
Clinical Cancer Research
10.1158/1078-0432.CCR-18-0208.
(In press).
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Franceschi, C;
Zaikin, A;
Gordleeva, S;
Ivanchenko, M;
Bonifazi, F;
Storci, G;
Bonafè, M;
(2018)
Inflammaging 2018: An update and a model.
Seminars in Immunology
, 40
pp. 1-5.
10.1016/j.smim.2018.10.008.
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Kustikova, V;
Krivonosov, M;
Pimashkin, A;
Denisov, P;
Zaikin, A;
Ivanchenko, M;
Meyerov, I;
(2018)
CalciumCV: Computer vision software for calcium signaling in astrocytes.
In:
International Conference on Analysis of Images, Social Networks and Texts.
(pp. pp. 168-179).
Springer: Moscow, Russia.
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Manchanda, R;
Blyuss, O;
Gaba, F;
Gordeev, VS;
Jacobs, C;
Burnell, M;
Gan, C;
... Jacobs, I; + view all
(2018)
Current detection rates and time-to-detection of all identifiable BRCA carriers in the Greater London population.
Journal of Medical Genetics
, 55
(8)
pp. 538-545.
10.1136/jmedgenet-2017-105195.
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Nene, NR;
Rivington, J;
Zaikin, A;
(2018)
Sensitivity of asymmetric rate-dependent critical systems to initial conditions: Insights into cellular decision making.
Physical Review E
, 98
(2)
, Article 022317. 10.1103/PhysRevE.98.022317.
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Vázquez, MA;
Mariño, IP;
Blyuss, O;
Ryan, A;
Gentry-Maharaj, A;
Kalsi, J;
Manchanda, R;
... Zaikin, A; + view all
(2018)
A quantitative performance study of two automatic methods for the diagnosis of ovarian cancer.
Biomedical Signal Processing and Control
, 46
pp. 86-93.
10.1016/j.bspc.2018.07.001.
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Whitwell, HJ;
Blyuss, O;
Menon, U;
Timms, JF;
Zaikin, A;
(2018)
Parenclitic networks for predicting ovarian cancer.
Oncotarget
, 9
(32)
pp. 22717-22726.
10.18632/oncotarget.25216.
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2017
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Abrego, L;
Zaikin, A;
(2017)
Decision Making in an Intracellular Genetic Classifier.
Mathematical Modelling of Natural Phenomena
, 12
(4)
pp. 30-42.
10.1051/mmnp/201712404.
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Karsakov, A;
Bartlett, T;
Meyerov, I;
Zaikin, A;
Ivanchenko, M;
(2017)
Parenclitic network analysis of methylation data for cancer identification.
PLOS One
, 12
(1)
, Article e0169661. 10.1371/journal.pone.0169661.
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Kiechl, S;
Schramek, D;
Widschwendter, M;
Fourkala, EO;
Zaikin, A;
Jones, A;
Jaeger, B;
... Penninger, JM; + view all
(2017)
Aberrant regulation of RANKL/OPG in women at high risk of developing breast cancer.
Oncotarget
, 8
(2)
pp. 2477-2484.
10.18632/oncotarget.14013.
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Kumar, A;
Baptista, MS;
Zaikin, A;
Jalan, S;
(2017)
Mirror node correlations tuning synchronization in multiplex networks.
Physical Review E
, 96
(6)
, Article 062301. 10.1103/PhysRevE.96.062301.
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Makovkin, S;
Kumar, A;
Zaikin, A;
Jalan, S;
Ivanchenko, M;
(2017)
Multiplexing topologies and time scales: The gains and losses of synchrony.
Physical Review E
, 96
(5)
, Article 052214. 10.1103/PhysRevE.96.052214.
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Mariño, IP;
Blyuss, O;
Ryan, A;
Gentry-Maharaj, A;
Timms, JF;
Dawnay, A;
Kalsi, J;
... Zaikin, A; + view all
(2017)
Change-point of multiple biomarkers in women with ovarian cancer.
Biomedical Signal Processing and Control
, 33
pp. 169-177.
10.1016/j.bspc.2016.11.015.
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Mariño, IP;
Zaikin, A;
Míguez, J;
(2017)
A comparison of Monte Carlo-based Bayesian parameter estimation methods for stochastic models of genetic networks.
PLoS One
, 12
(8)
, Article e0182015. 10.1371/journal.pone.0182015.
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Ryblov, A;
Kolesov, S;
Fedulova, E;
Karyakin, N;
Ivanchenko, M;
Zaikin, A;
(2017)
Comparison of machine learning methods for analysis of ulcerative colitis proteomic data.
Opera Medica et Physiologica
, 3
(1)
pp. 25-29.
10.20388/omp2017.001.0044.
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Stott, W;
Campbell, S;
Franchini, A;
Blyuss, O;
Zaikin, A;
Ryan, A;
Jones, C;
... Menon, U; + view all
(2017)
Self-reported transvaginal ultrasound visualization of normal ovaries in postmenopausal women is not reliable: results of expert review of archived images in UKCTOCS.
Ultrasound Obstet Gynecol
10.1002/uog.18836.
(In press).
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2016
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Bartlett, TE;
Zaikin, A;
(2016)
Detection of epigenomic network community oncomarkers.
The Annals of Applied Statistics
, 10
(3)
pp. 1373-1396.
10.1214/16-AOAS939.
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Blyuss, KB;
Manchanda, R;
Kurths, J;
Alsaedi, A;
Zaikin, A;
(2016)
Systems Medicine of Cancer: Bringing Together Clinical Data and Nonlinear Dynamics of Genetic Networks.
Computational and Mathematical Methods in Medicine
, 2016
, Article 7904693. 10.1155/2016/7904693.
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Borg, Y;
Grigonyte, AM;
Boeing, P;
Wolfenden, B;
Smith, P;
Beaufoy, W;
Rose, S;
... Nesbeth, DN; + view all
(2016)
Open source approaches to establishing Roseobacter Glade bacteria as synthetic biology chassis for biogeoengineering.
PeerJ
, 4
, Article e2031. 10.7717/peerj.2031.
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Fourkala, EO;
Blyuss, O;
Field, H;
Gunu, R;
Ryan, A;
Barth, J;
Jacobs, I;
... Menon, U; + view all
(2016)
Sex hormone measurements using mass spectrometry and sensitive extraction radioimmunoassay and risk of estrogen receptor negative and positive breast cancer: Case control study in UK Collaborative Cancer Trial of Ovarian Cancer Screening (UKCTOCS).
Steroids
, 110
pp. 62-69.
10.1016/j.steroids.2016.04.003.
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Jalan, S;
Kumar, A;
Zaikin, A;
Kurths, J;
(2016)
Interplay of degree correlations and cluster synchronization.
Physical Review E
, 94
(6)
, Article 062202. 10.1103/PhysRevE.94.062202.
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Nesbeth, DN;
Zaikin, A;
Saka, Y;
Romano, MC;
Giuraniuc, CV;
Kanakov, O;
Laptyeva, T;
(2016)
Synthetic biology routes to bio-artificial intelligence.
Essays in Biochemistry
, 60
(4)
pp. 381-391.
10.1042/EBC20160014.
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Polovinkin, AN;
Krylov, IB;
Druzhkov, PN;
Ivanchenko, MV;
Meyerov, IB;
Zaikin, AA;
Zolotykh, NY;
(2016)
Solving problems of clustering and classification of cancer diseases based on DNA methylation data.
Pattern Recognition and Image Analysis
, 26
(1)
pp. 176-180.
10.1134/S1054661816010181.
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2015
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Bates, R;
Blyuss, O;
Alsaedi, A;
Zaikin, A;
(2015)
Effect of noise in intelligent cellular decision making.
PLOS ONE
, 10
(5)
, Article e0125079. 10.1371/journal.pone.0125079.
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Blyuss, O;
Gentry-Maharaj, A;
Fourkala, EO;
Ryan, A;
Zaikin, A;
Menon, U;
Jacobs, I;
(2015)
Serial Patterns of Ovarian Cancer Biomarkers in a Prediagnosis Longitudinal Dataset.
Biomed Research International
, 2015
, Article 681416. 10.1155/2015/681416.
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Druzhkov, P;
Zolotykh, N;
Meyerov, I;
Alsaedi, A;
Shutova, M;
Ivanchenko, M;
Zaikin, A;
(2015)
Variations in the Intragene Methylation Profiles Hallmark Induced Pluripotency.
Biomed Research International
, 2015
, Article 976362. 10.1155/2015/976362.
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O'Brien, DP;
Sandanayake, NS;
Jenkinson, C;
Gentry-Maharaj, A;
Apostolidou, S;
Fourkala, EO;
Camuzeaux, S;
... Timms, JF; + view all
(2015)
Serum CA19-9 is significantly upregulated up to 2 years before diagnosis with pancreatic cancer: implications for early disease detection.
Clinical Cancer Research
, 21
(3)
pp. 622-631.
10.1158/1078-0432.CCR-14-0365.
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2014
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Alsaedi, A;
Zaikin, A;
Ahmad, B;
Alsaadi, F;
El-Shahed, M;
(2014)
Fractional calculus model of GATA-switching for regulating the differentiation of a hematopoietic stem cell.
Advances in Differential Equations
, 2014
, Article 201. 10.1186/1687-1847-2014-201.
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Bartlett, TE;
Olhede, SC;
Zaikin, A;
(2014)
A DNA methylation network interaction measure, and detection of network oncomarkers.
PLoS One
, 9
(1)
, Article e84573. 10.1371/journal.pone.0084573.
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Borg, Y;
Ullner, E;
Alagha, A;
Alsaedi, A;
Nesbeth, D;
Zaikin, A;
(2014)
Complex and unexpected dynamics in simple genetic regulatory networks.
INTERNATIONAL JOURNAL OF MODERN PHYSICS B
, 28
(14)
, Article ARTN 1430006. 10.1142/S0217979214300060.
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2013
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Alagha, A;
Zaikin, A;
(2013)
Asymmetry in erythroid-myeloid differentiation switch and the role of timing in a binary cell-fate decision.
Frontiers in Immunology
, 4
, Article 426. 10.3389/fimmu.2013.00426.
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Bartlett, TE;
Zaikin, A;
Olhede, SC;
West, J;
Teschendorff, AE;
Widschwendter, M;
(2013)
Corruption of the Intra-Gene DNA Methylation Architecture Is a Hallmark of Cancer.
PLoS One
, 8
(7)
, Article e68285. 10.1371/journal.pone.0068285.
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Mariño, IP;
Ullner, E;
Zaikin, A;
(2013)
Parameter estimation methods for chaotic intercellular networks.
PLoS One
, 8
(11)
, Article e79892. 10.1371/journal.pone.0079892.
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Pedersen, JW;
Gentry-Maharaj, A;
Nøstdal, A;
Fourkala, EO;
Dawnay, A;
Burnell, M;
Zaikin, A;
... Wandall, HH; + view all
(2013)
Cancer associated auto-antibodies to MUC1 and MUC4 - A blinded case control study of colorectal cancer in UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS).
International Journal of Cancer
, 134
(9)
pp. 2180-2188.
10.1002/ijc.28538.
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Widschwendter, M;
Rosenthal, AN;
Philpott, S;
Rizzuto, I;
Fraser, L;
Hayward, J;
Fourkala, EO;
... Dubeau, L; + view all
(2013)
The sex hormone system in carriers of BRCA1/2 mutations: A case-control study.
The Lancet Oncology
, 14
(12)
1226 - 1232.
10.1016/S1470-2045(13)70448-0.
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2012
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Nené, NR;
Garca-Ojalvo, J;
Zaikin, A;
(2012)
Speed-dependent cellular decision making in nonequilibrium genetic circuits.
PLoS One
, 7
(3)
, Article e32779. 10.1371/journal.pone.0032779.
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Nené, NR;
Zaikin, A;
(2012)
Interplay between path and speed in decision making by high-dimensional stochastic gene regulatory networks.
PLoS One
, 7
(7)
, Article e40085. 10.1371/journal.pone.0040085.
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2010
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Liepe, J;
Mishto, M;
Textoris-Taube, K;
Janek, K;
Keller, C;
Henklein, P;
Kloetzel, PM;
(2010)
The 20S Proteasome Splicing Activity Discovered by SpliceMet.
PLoS Computational Biology
, 6
(6)
, Article e1000830. 10.1371/journal.pcbi.1000830.
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Tieri, P;
Grignolio, A;
Zaikin, A;
Mishto, M;
Remondini, D;
Castellani, GC;
Franceschi, C;
(2010)
Network, degeneracy and bow tie. Integrating paradigms and architectures to grasp the complexity of the immune system.
Theoretical Biology and Medical Modelling
, 7
(32)
10.1186/1742-4682-7-32.
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2009
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Koseska, A;
Zaikin, A;
Kurths, J;
Garcia-Ojalvo, J;
(2009)
Timing Cellular Decision Making Under Noise via Cell-Cell Communication.
PLOS ONE
, 4
(3)
, Article e4872. 10.1371/journal.pone.0004872.
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2008
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Rusconi, M;
Zaikin, A;
Marwan, N;
Kurths, J;
(2008)
Effect of stochastic resonance on bone loss in osteopenic conditions (vol 100, art no 128101, 2008).
PHYS REV LETT
, 100
(23)
, Article 239901. 10.1103/PhysRevLett.100.239901.
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2007
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Ullner, E;
Zaikin, A;
Volkov, EI;
Garcia-Ojalvo, J;
(2007)
Multistability and clustering in a population of synthetic genetic oscillators via phase-repulsive cell-to-cell communication.
PHYS REV LETT
, 99
(14)
, Article 148103. 10.1103/PhysRevLett.99.148103.
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2003
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Ullner, E;
Zaikin, A;
Garcia-Ojalvo, J;
Kurths, J;
(2003)
Noise-induced excitability in oscillatory media.
PHYS REV LETT
, 91
(18)
, Article 180601. 10.1103/PhysRevLett.91.180601.
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Zaikin, A;
Garcia-Ojalvo, J;
Bascones, R;
Ullner, E;
Kurths, J;
(2003)
Doubly stochastic coherence via noise-induced symmetry in bistable neural models.
PHYS REV LETT
, 90
(3)
, Article 030601. 10.1103/PhysRevLett.90.030601.
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2002
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Pikovsky, A;
Zaikin, A;
de la Casa, MA;
(2002)
System size resonance in coupled noisy systems and in the Ising model.
PHYS REV LETT
, 88
(5)
, Article 050601. 10.1103/PhysRevLett.88.050601.
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Zaikin, AA;
Garcia-Ojalvo, J;
Schimansky-Geier, L;
Kurths, J;
(2002)
Noise induced propagation in monostable media.
PHYS REV LETT
, 88
(1)
, Article 010601. 10.1103/PhysRevLett.88.010601.
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