scDetect: a rank-based ensemble learning algorithm for cell type identification of single-cell RNA sequencing in cancer.

Saved in:
Bibliographic Details
Title: scDetect: a rank-based ensemble learning algorithm for cell type identification of single-cell RNA sequencing in cancer.
Authors: Shen Y; China Department of Laboratory Medicine, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.; China Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou 310003, China.; China Institute of Laboratory Medicine, Zhejiang University, Hangzhou 310003, China., Chu Q; China Institute of Bioinformatics, Zhejiang University, Hangzhou 310058, China., Timko MP; USA Departments of Biology and Public Health Sciences, University of Virginia, Charlottesville, VA 22903, USA., Fan L; China Institute of Bioinformatics, Zhejiang University, Hangzhou 310058, China.; China Department of Medical Oncology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2021 Nov 18; Vol. 37 (22), pp. 4115-4122.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1367-4811
DOI:10.1093/bioinformatics/btab410