Empowering multi-cohort gene expression analysis to increase reproducibility

Pacific Symposium on Biocomputing

Volumn 0, Issue 212679, 2017, Pages 144-153

  Haynes, Winston A ^a,b   Vallania, Francesco ^a   Liu, Charles ^a,b   Bongen, Erika ^a   Tomczak, Aurelie ^a   Andres Terrè, Marta ^a   Lofgren, Shane ^a   Tam, Andrew ^a   Deisseroth, Cole A ^a,b   Li, Matthew D ^a   Sweeney, Timothy E ^a   Khatri, Purvesh ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

Gene expression; Meta analysis; Multi cohort analysis; Reproducibility; Software; Web application

Indexed keywords

APPLICATION PROGRAMS; COMPUTER SOFTWARE; POPULATION STATISTICS;

BEST PRACTICES; COHORT ANALYSIS; GENE EXPRESSION ANALYSIS; INTERACTIVE WEB APPLICATIONS; META ANALYSIS; NON-TECHNICAL USERS; REPRODUCIBILITIES; WEB APPLICATION;

GENE EXPRESSION;

BIOLOGY; COHORT ANALYSIS; DISEASES; GENE EXPRESSION PROFILING; GENETICS; HUMAN; INTERNET; PROCEDURES; REPRODUCIBILITY; SOFTWARE; STATISTICS AND NUMERICAL DATA;

COHORT STUDIES; COMPUTATIONAL BIOLOGY; DISEASE; GENE EXPRESSION PROFILING; HUMANS; INTERNET; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 85006714398     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: 10.1142/9789813207813_0015     Document Type: Conference Paper

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