Identifying progressive gene network perturbation from single-cell RNA-seq data
Identifying the gene regulatory networks that control development or disease is one of the
most important problems in biology. Here, we introduce a computational approach, called …
most important problems in biology. Here, we introduce a computational approach, called …
SOMSC: Self-organization-map for high-dimensional single-cell data of cellular states and their transitions
T Peng, Q Nie - bioRxiv, 2017 - biorxiv.org
Measurement of gene expression levels for multiple genes in single cells provides a
powerful approach to study heterogeneity of cell populations and cellular plasticity. While …
powerful approach to study heterogeneity of cell populations and cellular plasticity. While …
Learning and inference with single cell data
S Mukherjee - 2018 - digital.lib.washington.edu
A recent surge in development of high throughput single cell transcriptome sequencing
methods has given rise to single cell data from a variety of cellular contexts. Single cell data …
methods has given rise to single cell data from a variety of cellular contexts. Single cell data …