CDSKNN<sup>XMBD</sup>: a novel clustering framework for large-scale single-cell data based on a stable graph structure.

Authors:
Ren J; Lyu X; Guo J; Shi X; Zhou Y and 1 more

Journal:
J Transl Med

Publication Year: 2024

DOI:
10.1186/s12967-024-05009-w

PMCID:
PMC10910752

PMID:
38433205

Journal Information

Journal Title: J Transl Med

Detailed journal information not available.

Publication Details

Subject Category: Medicine, Research & Experimental

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
5/6
83.3% Transparent
Transparency Indicators
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Core Indicators
Evidence found in paper:

"availability of data and materials the r implementation of cdsknn is available for academic use on github ( https://github com/renjun0324/cdsknn ). availability of data and materials the r implementation of cdsknn is available for academic use on github ( https://github com/renjun0324"

Evidence found in paper:

"availability of data and materials the r implementation of cdsknn is available for academic use on github ( https://github com/renjun0324/cdsknn )."

Evidence found in paper:

"Declarations Ethics approval and consent to participateEthical approval and consent to participate were waived since we used only publicly available data and materials in this study. Consent for publicationAll the authors read and approved the publication of the final manuscript. Competing interestsThe authors declare that they have no competing interests. Competing interests The authors declare that they have no competing interests."

Evidence found in paper:

"Funding This work was supported by the Fundamental Research Funds for the National Natural Science Foundation of China [82272944 to QL] and the National Natural Science Foundation of China [82203420 to JG]."

Protocol Registration
Open Access
Paper is freely available to read
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Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025