Cancer Biostatistics Monthly Seminar

Integrating Multidimensional Cancer-omics Data for Patient Clustering Hongyu Zhao, PhD Ira V. Hiscock Professor of Biostatistics Professor of Genetics Professor of Statistics and Data Science Yale University Abstract Advances in high-throughput genomic technologies coupled with large-scale studies including The Cancer Genome Atlas (TCGA) project have generated rich resources of diverse types of omics data to […]

Cancer Biostatistics Monthly Seminar

A statistical framework for differential pseudotime analysis with multiple single-cell RNA-seq samples Dr. Hongkai Ji, PhD Professor Associate Chair Director of the Graduate Program Department of Biostatistics Bloomberg School of Public Health Johns Hopkins University     Abstract Pseudotime analysis with single-cell RNA-sequencing (scRNA-seq) data has been widely used to study dynamic gene regulatory programs […]

Translate »