M3S: a comprehensive model selection for multi-modal single-cell RNA sequencing data

被引：0
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作者：
Yu Zhang
Changlin Wan
Pengcheng Wang
Wennan Chang
Yan Huo
Jian Chen
Qin Ma
Sha Cao
Chi Zhang
机构：
[1] Jilin University,MOE Key Laboratory of Symbolic Computation and Knowledge Engineering, Colleges of Computer Science and Technology
[2] Indiana University,Center for Computational Biology and Bioinformatics
[3] School of Medicine,Department of Electronic Computer Engineering
[4] Purdue University,Department of Computer Science
[5] Indiana University-Purdue University Indianapolis,School of Fundamental Sciences
[6] China Medical University,Shanghai Pulmonary Hospital
[7] Tongji University School of Medicine,Department of Biomedical Informatics
[8] The Ohio State University,Department of Biostatistics
[9] Indiana University,undefined
[10] School of Medicine,undefined
[11] Department of Medical and Molecular Genetics,undefined
来源：
BMC Bioinformatics | / 20卷
关键词：
Single cell RNA-seq; Multimodality; Differential gene expression analysis; Drop-seq; Left truncated mixture Gaussian;
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