Original paper
Rank-in: enabling integrative analysis across microarray and RNA-seq for cancer
Abstract
Though transcriptomics technologies evolve rapidly in the past decades, integrative analysis of mixed data between microarray and RNA-seq remains challenging due to the inherent variability difference between them. Here, Rank-In was proposed to correct the nonbiological effects across the two technologies, enabling freely blended data for consolidated analysis. Rank-In was rigorously validated via the public cell and tissue samples tested by...
Paper Details
Title
Rank-in: enabling integrative analysis across microarray and RNA-seq for cancer
Published Date
Jul 2, 2021
Journal
Volume
49
Issue
17
Pages
e99 - e99
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Notes
History