title: EMPOWERING MULTI-COHORT GENE EXPRESSION ANALYSIS TO INCREASE REPRODUCIBILITY.
abstract: A major contributor to the scientific reproducibility crisis has been that the results from homogeneous, single-center studies do not generalize to heterogeneous, real world populations. Multi-cohort gene expression analysis has helped to increase reproducibility by aggregating data from diverse populations into a single analysis. To make the multi-cohort analysis process more feasible, we have assembled an analysis pipeline which implements rigorously studied meta-analysis best practices. We have compiled and made publicly available the results of our own multi-cohort gene expression analysis of 103 diseases, spanning 615 studies and 36,915 samples, through a novel and interactive web application. As a result, we have made both the process of and the results from multi-cohort gene expression analysis more approachable for non-technical users.
authors.affiliation: Stanford Institute for Immunity, Transplantation, and Infection, Stanford University, USA2Biomedical Informatics Training Program, Stanford University, USA3Stanford Center for Biomedical Informatics Research, Stanford University, USA.
authors.forename: Winston A
authors.initials: WA
authors.lastname: Haynes
authors.forename: Francesco
authors.initials: F
authors.lastname: Vallania
authors.forename: Charles
authors.initials: C
authors.lastname: Liu
authors.forename: Erika
authors.initials: E
authors.lastname: Bongen
authors.forename: Aurelie
authors.initials: A
authors.lastname: Tomczak
authors.forename: Marta
authors.initials: M
authors.lastname: Andres-Terrè
authors.forename: Shane
authors.initials: S
authors.lastname: Lofgren
authors.forename: Andrew
authors.initials: A
authors.lastname: Tam
authors.forename: Cole A
authors.initials: CA
authors.lastname: Deisseroth
authors.forename: Matthew D
authors.initials: MD
authors.lastname: Li
authors.forename: Timothy E
authors.initials: TE
authors.lastname: Sweeney
authors.forename: Purvesh
authors.initials: P
authors.lastname: Khatri
mesh_terms: D015331:Cohort Studies; D019295:Computational Biology; D004194:Disease / Q000235:genetics; D020869:Gene Expression Profiling / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D020407:Internet; D015203:Reproducibility of Results; D012984:Software