Evaluation of Kernfeld et al.: Toward best practices for tackling false positives in regulatory network inference

Anthony Gitter

doi:10.1016/j.cels.2024.07.009

Evaluation of Kernfeld et al.: Toward best practices for tackling false positives in regulatory network inference

Cell Syst. 2024 Aug 21;15(8):673-675. doi: 10.1016/j.cels.2024.07.009.

Author

Anthony Gitter¹

Affiliation

¹ Morgridge Institute for Research, Madison, WI 53715, USA; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53792, USA. Electronic address: [email protected].

PMID: 39173582
DOI: 10.1016/j.cels.2024.07.009

Abstract

One snapshot of the peer review process for "Transcriptome data are insufficient to control false discoveries in regulatory network inference" (Kernfeld et al., 2024).¹.

MeSH terms

Computational Biology / methods
False Positive Reactions
Gene Regulatory Networks* / genetics
Humans
Transcriptome / genetics