BIMSA > Seminar on Bioinformatics Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations
Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations
Organizer
Shing Toung Yau
Speaker
Nan Sun
Time
Thursday, February 22, 2024 10:00 PM - 10:30 PM
Venue
Online
Abstract
When different types of functional genomics data are generated on single cells from different samples of cells from the same heterogeneous population, the clustering of cells in the different samples should be coupled. The authors formulate this “coupled clustering” problem as an optimization problem and propose the method of coupled nonnegative matrix factorizations (coupled NMF) for its solution. The method is illustrated by the integrative analysis of single-cell RNA-sequencing (RNA-seq) and single-cell ATAC-sequencing (ATAC-seq) data.