scDCCA: deep contrastive clustering for single-cell RNA-seq data based on auto-encoder network.

Wang, Jing; Xia, Junfeng; Wang, Haiyun; Su, Yansen; Zheng, Chun-Hou

Wang, Jing; Xia, Junfeng; Wang, Haiyun; Su, Yansen; Zheng, Chun-Hou.

Affiliation

Wang J; Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China.
Xia J; Institutes of Physical Science and Information Technology, Anhui University, Hefei, China.
Wang H; School of Mathematics and Systems Science, Xinjiang University, Urumqi, China.
Su Y; School of Artificial Intelligence, Anhui University, Hefei, China.
Zheng CH; School of Artificial Intelligence, Anhui University, Hefei, China.

Brief Bioinform ; 24(1)2023 01 19.

Article in En | MEDLINE | ID: mdl-36631401

Subject(s)

Gene Expression Profiling; Single-Cell Gene Expression Analysis; Humans; Gene Expression Profiling/methods; Sequence Analysis, RNA/methods; Single-Cell Analysis/methods; Algorithms; Cluster Analysis

Key words

ZINB model; contrastive learning; deep clustering; denoising auto-encoder; scRNA-seq data

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Gene Expression Profiling / Single-Cell Gene Expression Analysis Limits: Humans Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2023 Type: Article Affiliation country: China

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