Single-cell sequencing data

Tue, Aug 8, 2:00 PM

Ann Marie WeidemanChair

Section on Statistics in Genomics and Genetics

7 Presentations

ESVD: Cohort-level differential expression in single-cell data via matrix factorization

2:05 PM - 2:20 PM

Kevin Lin (University of Pennsylvania)

Co-authors: Yixuan Qiu (Shanghai University of Finance and Economics), Kathryn Roeder (Carnegie Mellon University)

Analysis of Single-Cell T-Cell Receptor Sequencing

2:20 PM - 2:35 PM

Kelly Street (Dana-Farber Cancer Institute)

Co-authors: Mercedeh Movassagh, Jill Lundell (Dana Farber Cancer Institute), Mingzhi Ye (University of Southern California), Miya Hugaboom (Yale University), David Braun (Yale University)

Joint tensor modeling of single cell 3D genome and epigenetic data with Muscle

2:35 PM - 2:50 PM

Kwangmoon Park (University of Wisconsin-Madison)

Co-authors: Sunduz Keles (University of Wisconsin-Madison)

G3DC: a Gene-Graph-Guided selective Deep Clustering method for single cell RNA-seq data

2:50 PM - 3:05 PM

Tianwei Yu

Co-authors: Shuqing He (The Chinese University of Hong Kong, Shenzhen), Jicong Fan (The Chinese University of Hong Kong, Shenzhen)

A deep learning algorithm based statistical model for clustering single-cell RNA-seq data

3:05 PM - 3:20 PM

Leann Lac

Co-authors: Eric Lin (Dalla Lana School of Public Health, University of Toronto), Boyuan Liu (Dalla Lana School of Public Health, University of Toronto), Daryl L.X. Fung (University of Manitoba), Carson K. Leung (University of Manitoba), Pingzhao Hu (Western University)

Model-based Dimensionality Reduction for Single-cell RNA-seq using Generalized Bilinear Models

3:20 PM - 3:35 PM

Phillip Nicol (Harvard University, Department of Biostatistics)

Co-authors: Jeffrey Miller (Harvard School of Public Health)

Identify cellular populations affected by cancer treatment using latent dirichlet allocation

3:35 PM - 3:50 PM

Euphy Wu

Co-authors: Naim Rashid (UNC Chapel Hill), Didong Li

Session participants

Kimberly Siegmund (University of Southern California, School of Medicine)

Participant