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Topic-Contributed Paper Session

Advances in Single-cell Data Science

Wed, Aug 7, 10:30 AM - 12:20 PM

Fangda SongOrganizerTianwei YuChair

Section on Statistics in Genomics and Genetics

5 Presentations

A unified statistical framework for doublet detection in single-cell multi-omics data

10:35 AM - 10:55 AM

Chen Wei (University of Pittsburgh)

Personalized cell-type-specific Transcriptome Profile Deconvolution and Inference

10:55 AM - 11:15 AM

Hao Feng (Case Western Reserve University)

Regression for Single-cell RNA-seq Experiments: Experimental Design and Statistical Inference

11:15 AM - 11:35 AM

Fangda Song (The Chinese University of Hong Kong, Shenzhen)

RigorMC: a statistical method to optimize metacell partitioning in single-cell data analysis

11:35 AM - 11:55 AM

Jingyi Jessica Li (UCLA)

scPB: Benchmarking of cell-level perturbation effect quantification methods in single-cell multi-condition studies

11:55 AM - 12:15 PM

Yingxin Lin (Yale University)

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