Machine Learning of Stem Cell Identities From Single-Cell Expression Data via Regulatory Network Archetypes (2019)
Attributed to:
Dissecting the molecular basis of cell-cell variability in mouse embryonic stem cell populations using systems approaches
funded by
BBSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.3389/fgene.2019.00002
PubMed Identifier: 30723489
Publication URI: http://europepmc.org/abstract/MED/30723489
Type: Journal Article/Review
Parent Publication: Frontiers in Genetics
ISSN: 1664-8021