scTIGER: A Deep-Learning Method for Inferring Gene Regulatory Networks from Case versus Control scRNA-seq Datasets.

Dautle, Madison; Zhang, Shaoqiang; Chen, Yong

Dautle, Madison; Zhang, Shaoqiang; Chen, Yong.

Affiliation

Dautle M; Department of Biological and Biomedical Sciences, Rowan University, Glassboro, NJ 08028, USA.
Zhang S; College of Computer and Information Engineering, Tianjin Normal University, Tianjin 300387, China.
Chen Y; Department of Biological and Biomedical Sciences, Rowan University, Glassboro, NJ 08028, USA.

Int J Mol Sci ; 24(17)2023 Aug 28.

Article in En | MEDLINE | ID: mdl-37686146

Subject(s)

Deep Learning; Prostatic Neoplasms; Male; Humans; Gene Regulatory Networks; Single-Cell Gene Expression Analysis; Fear; Mitogen-Activated Protein Kinases

Key words

deep learning; gene co-differential expression network; gene regulatory network; memory formation; prostate cancer; scRNA-seq

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Deep Learning Limits: Humans / Male Language: En Journal: Int J Mol Sci Year: 2023 Document type: Article Affiliation country: United States Country of publication: Switzerland

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