评估 Kernfeld 等人的研究：针对监管网络推断中错误阳性的最佳实践。
Evaluation of Kernfeld et al.: Toward best practices for tackling false positives in regulatory network inference.
机构信息
Morgridge Institute for Research, Madison, WI 53715, USA; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53792, USA.
出版信息
Cell Syst. 2024 Aug 21;15(8):673-675. doi: 10.1016/j.cels.2024.07.009.
PMID:39173582
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)..
摘要
监管网络推断中转录组数据不足以控制假发现的同行评审过程快照 (Kernfeld 等人，2024)。
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