Improved biomarker discovery through a plot twist in transcriptomic data analysis

Improved biomarker discovery through a plot twist in transcriptomic data analysis

Abstract Background Transcriptomic analysis is crucial for understanding the functional elements of the genome, with the classic method consisting of screening transcriptomics datasets for differentially expressed genes (DEGs). Additionally, since 2005, weighted gene co-expression network analysis (...

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Bibliographic Details
Main Authors: Núria Sánchez-Baizán, Laia Ribas, Francesc Piferrer
Format: Article
Language:English
Published: BMC 2022-09-01
Series:BMC Biology
Subjects:
Gene expression analysis
Gene networks
Weighted gene co-expression network analysis (WGCNA)
Sex determination and differentiation
Gonadal development
Biomarker discovery
Online Access:https://doi.org/10.1186/s12915-022-01398-w

Internet

https://doi.org/10.1186/s12915-022-01398-w

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