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Seminars

Statistical applications in single-cell RNA-seq data analysis

  • 2023-12-27 (Wed.), 10:30 AM
  • Auditorium, B1F, Institute of Statistical Science;The tea reception will be held at 10:10.
  • Online live streaming through Cisco Webex will be available.
  • Prof. Chih-Yuan Hsu
  • Department of Biostatistics, Vanderbilt University Medical Center

Abstract

Single-cell RNA sequencing (scRNAseq) has been widely used to characterize cellular heterogeneity in complex tissues. This talk will introduce our proposed methods that can be applied in single-cell RNA-seq data analysis. These methods include 1) a new normalization method to correct unwanted biases caused by sequencing depth, capture efficiency, dropout, and other technical factors 2) a new power and sample size calculation for scRNAseq experiments, and 3) a new method to detect dysregulated ligand-receptor interactions from single cell transcriptomics.

Please click here for participating the talk online.

Download

1121227 Prof. Chih-Yuan Hsu (En).pdf
Update:2023-12-21 15:25
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