Inferring causal molecular networks: empirical assessment through a community-based effort
Steven M. Hill(MRC Biostatistics Unit), Laura M. Heiser(Oregon Health & Science University), Thomas Cokelaer(European Bioinformatics Institute), M. Unger(ETH Zurich), Nicole K. Nesser(Oregon Health & Science University), Daniel E Carlin(University of California, Santa Cruz), Yang Zhang(New Mexico State University), Artem Sokolov(University of California, Santa Cruz), Evan Paull(University of California, Santa Cruz), Chris Wong(University of California, Santa Cruz), Kiley Graim(University of California, Santa Cruz), Adrian Bivol(University of California, Santa Cruz), Haizhou Wang(New Mexico State University), Fan Zhu(University of Michigan), Bahman Afsari(Johns Hopkins University), Ludmila Danilova(Johns Hopkins University), Alexander V. Favorov(Johns Hopkins University), Wai Shing Lee(Johns Hopkins University), Dane Taylor(University of North Carolina at Chapel Hill), Chenyue W. Hu(Rice University), Byron L. Long(Rice University), David P. Noren(Rice University), Alexander J. Bisberg(Rice University), Gordon B. Mills(The University of Texas MD Anderson Cancer Center), Joe W. Gray(Oregon Health & Science University), Michael Kellen(Sage Bionetworks), Thea Norman(Sage Bionetworks), Stephen Friend(Sage Bionetworks), Amina A. Qutub(Rice University), Elana J. Fertig(Johns Hopkins University), Yuanfang Guan(University of Michigan), Mingzhou Song(New Mexico State University), Joshua M. Stuart(University of California, Santa Cruz), Paul T. Spellman(Oregon Health & Science University), Heinz Koeppl(ETH Zurich), Gustavo Stolovitzky(IBM (United States)), Julio Sáez-Rodríguez(European Bioinformatics Institute), Sach Mukherjee(University of Cambridge)
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