Comparative benchmarking of single-cell clustering algorithms for transcriptomic and proteomic data.

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Bibliographic Details
Title: Comparative benchmarking of single-cell clustering algorithms for transcriptomic and proteomic data.
Authors: Yin YH; College of Life Science, Northeast Forestry University, Harbin, 150040, China.; College of Computer and Control Engineering, Northeast Forestry University, Harbin, 150040, China., Wang F; The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, 324000, China. yafangwang163@163.com., Li W; College of Artificial Intelligence, Nankai University, Tianjin, 300350, China., Liu Q; College of Artificial Intelligence, Henan University, Zhengzhou, 450046, China., Zhou S; College of Life Science, Northeast Forestry University, Harbin, 150040, China.; College of Computer and Control Engineering, Northeast Forestry University, Harbin, 150040, China., Zhou M; College of Life Science, Northeast Forestry University, Harbin, 150040, China.; College of Computer and Control Engineering, Northeast Forestry University, Harbin, 150040, China., Jiang Z; College of Life Science, Northeast Forestry University, Harbin, 150040, China.; College of Computer and Control Engineering, Northeast Forestry University, Harbin, 150040, China., Yu DJ; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China., Wang G; College of Computer and Control Engineering, Northeast Forestry University, Harbin, 150040, China. ghwang@nefu.edu.cn.
Source: Genome biology [Genome Biol] 2025 Sep 03; Vol. 26 (1), pp. 265. Date of Electronic Publication: 2025 Sep 03.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100960660 Publication Model: Electronic Cited Medium: Internet ISSN: 1474-760X (Electronic) Linking ISSN: 14747596 NLM ISO Abbreviation: Genome Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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