Inferring causal molecular networks: empirical assessment through a community-based effort.

Hill, Steven M; Heiser, Laura M; Cokelaer, Thomas; Unger, Michael; Nesser, Nicole K; Carlin, Daniel E; Zhang, Yang; Sokolov, Artem; Paull, Evan O; Wong, Chris K; Graim, Kiley; Bivol, Adrian; Wang, Haizhou; Zhu, Fan; Afsari, Bahman; Danilova, Ludmila V; Favorov, Alexander V; Lee, Wai Shing; Taylor, Dane; Hu, Chenyue W; Long, Byron L; Noren, David P; Bisberg, Alexander J; HPN-DREAM Consortium,; Mills, Gordon B; Gray, Joe W; Kellen, Michael; Norman, Thea; Friend, Stephen; Qutub, Amina A; Fertig, Elana J; Guan, Yuanfang; Song, Mingzhou; Stuart, Joshua M; Spellman, Paul T; Koeppl, Heinz; Stolovitzky, Gustavo; Saez-Rodriguez, Julio; Mukherjee, Sach

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Authors

Hill, Steven M

Heiser, Laura M

Cokelaer, Thomas

Unger, Michael

Nesser, Nicole K

Carlin, Daniel E

Zhang, Yang

Publication Date

2016-04

Journal Title

Nature methods

ISSN

1548-7091

Volume

Issue

Pages

310-318

Language

eng

Type

Article

This Version

VoR

Physical Medium

Print-Electronic

Metadata

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Citation

Hill, S. M., Heiser, L. M., Cokelaer, T., Unger, M., Nesser, N. K., Carlin, D. E., Zhang, Y., et al. (2016). Inferring causal molecular networks: empirical assessment through a community-based effort.. Nature methods, 13 (4), 310-318. https://doi.org/10.1038/nmeth.3773

Keywords

HPN-DREAM Consortium, Tumor Cells, Cultured, Humans, Neoplasms, Gene Expression Profiling, Protein Interaction Mapping, Computational Biology, Systems Biology, Causality, Signal Transduction, Algorithms, Models, Biological, Computer Simulation, Software, Gene Regulatory Networks

Sponsorship

MRC (unknown)

Identifiers

External DOI: https://doi.org/10.1038/nmeth.3773

This record's URL: https://www.repository.cam.ac.uk/handle/1810/278785

Rights

Attribution-NonCommercial-ShareAlike 4.0 International

Licence URL: http://creativecommons.org/licenses/by-nc-sa/4.0/

The following licence files are associated with this item:

Creative Commons

Except where otherwise noted, this item's licence is described as Attribution-NonCommercial-ShareAlike 4.0 International

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