A graph-based algorithm for RNA-seq data normalization

Volume: 15, Issue: 1, Pages: e0227760 - e0227760
Published: Jan 24, 2020
Abstract
The use of RNA-sequencing has garnered much attention in recent years for characterizing and understanding various biological systems. However, it remains a major challenge to gain insights from a large number of RNA-seq experiments collectively, due to the normalization problem. Normalization has been challenging due to an inherent circularity, requiring that RNA-seq data be normalized before any pattern of differential (or non-differential)...
Paper Details
Title
A graph-based algorithm for RNA-seq data normalization
Published Date
Jan 24, 2020
Journal
Volume
15
Issue
1
Pages
e0227760 - e0227760
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.