Browse by UCL people
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Number of items: 9.
Article
Clarke, MA;
Fisher, J;
(2020)
Executable cancer models: successes and challenges.
Nature Reviews Cancer
, 20
pp. 343-354.
10.1038/s41568-020-0258-x.
|
Clarke, MA;
Fisher, J;
(2019)
Prognostic hallmarks in AML.
Nature Biomedical Engineering
, 3
(11)
pp. 847-849.
10.1038/s41551-019-0474-4.
|
Haim-Vilmovsky, L;
Henriksson, J;
Walker, JA;
Miao, Z;
Natan, E;
Kar, G;
Clare, S;
... Teichmann, SA; + view all
(2021)
Mapping Rora expression in resting and activated CD4+ T cells.
PLOS One
, 16
(5)
, Article e0251233. 10.1371/journal.pone.0251233.
|
Hall, BA;
Fisher, J;
(2020)
Constructing and Analyzing Computational Models of Cell Signaling with BioModelAnalyzer.
Current Protocols in Bioinformatics
, 69
(1)
, Article e95. 10.1002/cpbi.95.
|
Howell, Rowan;
Clarke, Matthew A;
Reuschl, Ann-Kathrin;
Chen, Tianyi;
Abbott-Imboden, Sean;
Singer, Mervyn;
Lowe, David M;
... Fisher, Jasmin; + view all
(2022)
Executable network of SARS-CoV-2-host interaction predicts drug combination treatments.
npj Digital Medicine
, 5
(1)
, Article 18. 10.1038/s41746-022-00561-5.
|
Jacobson, Daniel H;
Pan, Shi;
Fisher, Jasmin;
Secrier, Maria;
(2023)
Multi-scale characterisation of homologous recombination deficiency in breast cancer.
Genome Medicine
, 15
, Article 90. 10.1186/s13073-023-01239-7.
|
Kreuzaler, P;
Clarke, MA;
Brown, EJ;
Wilson, CH;
Kortlever, RM;
Piterman, N;
Littlewood, T;
... Fisher, J; + view all
(2019)
Heterogeneity of Myc expression in breast cancer exposes pharmacological vulnerabilities revealed through executable mechanistic modeling.
Proceedings of the National Academy of Sciences
, 116
(44)
pp. 22399-22408.
10.1073/pnas.1903485116.
|
Schneider, P;
Walters, WP;
Plowright, AT;
Sieroka, N;
Listgarten, J;
Goodnow, RA;
Fisher, J;
... Schneider, G; + view all
(2020)
Rethinking drug design in the artificial intelligence era.
Nature Reviews Drug Discovery
, 19
pp. 353-364.
10.1038/s41573-019-0050-3.
|
Teichmann, Sarah A;
Haniffa, Muzlifah;
Fisher, Jasmin;
(2022)
Community voices: policy proposals to promote inclusion in academia through the lens of women in science.
Nature Communications
, 13
, Article 4068. 10.1038/s41467-022-31616-6.
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