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Mathematical models help explain experimental data. Response to 'Transcriptional interpretation of Shh morphogen signaling: computational modeling validates empirically established models'

Cohen, M; Page, KM; Perez-Carrasco, R; Barnes, CP; Briscoe, J; (2016) Mathematical models help explain experimental data. Response to 'Transcriptional interpretation of Shh morphogen signaling: computational modeling validates empirically established models'. Development , 143 (10) pp. 1640-1643. 10.1242/dev.138461. Green open access

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Type: Article
Title: Mathematical models help explain experimental data. Response to 'Transcriptional interpretation of Shh morphogen signaling: computational modeling validates empirically established models'
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1242/dev.138461
Publisher version: http://doi.org/10.1242/dev.138461
Language: English
Additional information: © 2016. Published by The Company of Biologists Ltd.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Cell and Developmental Biology
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics
URI: http://discovery.ucl.ac.uk/id/eprint/1493856
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