Clustering Single-Cell RNA-Seq Data with Low-Rank Matrix Factorization and Local Graph Regularization.
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| Title: | Clustering Single-Cell RNA-Seq Data with Low-Rank Matrix Factorization and Local Graph Regularization. |
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| Authors: | Yu Y; School of Sciences, East China Jiaotong University, Nanchang, 330013, China., Zhang W; School of Sciences, East China Jiaotong University, Nanchang, 330013, China. wzhang_math@whu.edu.cn.; School of Mathematics and Physics, Wuhan Institute of Technology, Wuhan, 430205, China. wzhang_math@whu.edu.cn., Zheng X; School of Mathematics and Physics, Wuhan Institute of Technology, Wuhan, 430205, China., Shen J; School of Mathematics and Physics, Wuhan Institute of Technology, Wuhan, 430205, China., Li Y; School of Mathematics and Physics, Wuhan Institute of Technology, Wuhan, 430205, China. |
| Source: | Interdisciplinary sciences, computational life sciences [Interdiscip Sci] 2026 Jun; Vol. 18 (2), pp. 419-433. Date of Electronic Publication: 2025 Sep 02. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101515919 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1462 (Electronic) Linking ISSN: 18671462 NLM ISO Abbreviation: Interdiscip Sci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1867-1462 |
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| DOI: | 10.1007/s12539-025-00762-y |
