Open AccessAssumption weighting for incorporating heterogeneity into meta-analysis of genomic data
Author(s) -
Yihan Li,
Debashis Ghosh
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts037
Subject(s) - weighting , computer science , context (archaeology) , data mining , meta analysis , variation (astronomy) , biology , medicine , paleontology , physics , radiology , astrophysics
There is now a large literature on statistical methods for the meta-analysis of genomic data from multiple studies. However, a crucial assumption for performing many of these analyses is that the data exhibit small between-study variation or that this heterogeneity can be sufficiently modelled probabilistically.
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