Open AccessKey Issues in Conducting a Meta-Analysis of Gene Expression Microarray Datasets
Author(s) -
Adaikalavan Ramasamy,
Adrian Mondry,
Chris Holmes,
Douglas G. Altman
Publication year - 2008
Publication title -
plos medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.847
H-Index - 228
eISSN - 1549-1676
pISSN - 1549-1277
DOI - 10.1371/journal.pmed.0050184
Subject(s) - generalizability theory , raw data , computer science , microarray analysis techniques , meta analysis , data mining , key (lock) , data science , microarray databases , computational biology , bioinformatics , biology , gene expression , gene , statistics , medicine , genetics , computer security , mathematics , programming language
Adaikalavan Ramasamy and colleagues outline seven key issues and suggest a stepwise approach in conducting a meta-analysis of microarray datasets.
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