A benchmarking study of copy number variation inference methods using single-cell RNA-sequencing data
Chen X, Fang L, Chen Z, Chen W, Wu H, Zhu B, Moos M, Farmer A, Zhang X, Xiong W, Gong S, Jones W, Mason C, Wu S, Xiao C, Wang C. A benchmarking study of copy number variation inference methods using single-cell RNA-sequencing data. Precision Clinical Medicine 2025, 8: pbaf011. PMID: 40584741, PMCID: PMC12204187, DOI: 10.1093/pcmedi/pbaf011.Peer-Reviewed Original ResearchScRNA-seq datasetsStudy genetic heterogeneityScRNA-seq dataCopy number variationsSingle-cell RNA sequencingRNA sequencing dataInference methodsRead lengthSequencing depthSingle-cell levelSequencing tissueScRNA-seqTranscriptome dataNumber variationsGenetic heterogeneityRNA sequencingBatch effectsHuman lung adenocarcinoma cell lineLung adenocarcinoma cell linesAdenocarcinoma cell lineCell linesInferCNVCancer researchSCCNVTumor heterogeneity
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