FEM: mining biological meaning from cell level in single-cell RNA sequencing data

FEM: mining biological meaning from cell level in single-cell RNA sequencing data

Background One goal of expression data analysis is to discover the biological significance or function of genes that are differentially expressed. Gene Set Enrichment (GSE) analysis is one of the main tools for function mining that has been widely used. However, every gene expressed in a cell is val...

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Bibliographic Details
Main Authors: Yunqing Liu, Na Lu, Changwei Bi, Tingyu Han, Guo Zhuojun, Yunchi Zhu, Yixin Li, Chunpeng He, Zuhong Lu
Format: Article
Language:English
Published: PeerJ Inc. 2021-11-01
Series:PeerJ
Subjects:
Single-cell RNA sequencing
Gene set enrichment analysis
Functional expression matrix
Online Access:https://peerj.com/articles/12570.pdf

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