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Open Access

Peer-reviewed

Research Article

scDSSC: Deep Sparse Subspace Clustering for scRNA-seq Data

HaiYun Wang,

Roles Data curation, Formal analysis, Software, Visualization, Writing – original draft

Affiliation College of Mathematics and System Sciences, Xinjiang University, Urumqi, China
⨯
JianPing Zhao ,

Roles Funding acquisition, Writing – review & editing

* E-mail: zhaojianping@126.com (JPZ); zhengch99@126.com (CHZ); suyansen1985@163.com (YSS)

Affiliation College of Mathematics and System Sciences, Xinjiang University, Urumqi, China

https://orcid.org/0000-0002-8486-744X

⨯
ChunHou Zheng ,

Roles Funding acquisition, Writing – review & editing

* E-mail: zhaojianping@126.com (JPZ); zhengch99@126.com (CHZ); suyansen1985@163.com (YSS)

Affiliation School of Artificial Intelligence, Anhui University, Hefei, China
⨯
YanSen Su

Roles Writing – review & editing

* E-mail: zhaojianping@126.com (JPZ); zhengch99@126.com (CHZ); suyansen1985@163.com (YSS)

Affiliation School of Artificial Intelligence, Anhui University, Hefei, China
⨯

scDSSC: Deep Sparse Subspace Clustering for scRNA-seq Data

HaiYun Wang,
JianPing Zhao,
ChunHou Zheng,
YanSen Su

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Published: December 19, 2022
https://doi.org/10.1371/journal.pcbi.1010772

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Data visualization
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Subspace clustering
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Marker genes
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Data reduction
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Gene expression
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Noise reduction
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Statistical distributions
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Preprocessing
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