Reference-free deconvolution of complex samples based on cross-cell-type differential analysis: Systematic evaluations with various feature selection options

Comprehensive simulation studies and analyses of seven real datasets show the excellent performance of the proposed method. The proposed method, that is, reference-free deconvolution based on cross-cell-type differential (RFdecd), is implemented as an R package at https://github.com/wwzhang-study/RFdecd.

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Publication Details

Journal
Frontiers in Genetics
Published
2025-05-30
DOI
https://doi.org/10.3389/fgene.2025.1570781
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Reference-free deconvolution of complex samples based on cross-cell-type differential analysis: Systematic evaluations with various feature selection options

Ling Peng, Z. F. Tian, Weiwei Zhang
Frontiers in Genetics
Single-cell and spatial transcriptomics
article

Reference-free deconvolution of complex samples based on cross-cell-type differential analysis: Systematic evaluations with various feature selection options

Ling Peng, Z. F. Tian, Weiwei Zhang
article en

Abstract

Comprehensive simulation studies and analyses of seven real datasets show the excellent performance of the proposed method. The proposed method, that is, reference-free deconvolution based on cross-cell-type differential (RFdecd), is implemented as an R package at https://github.com/wwzhang-study/RFdecd.

Frontiers in GeneticsVol. 16
Shaoxing University (CN)
Openalex Percentile: Top 89%
Single-cell and spatial transcriptomics
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