📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Automated methods for cell type annotation on scRNA-seq data. (2021)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.csbj.2021.01.015

PubMed Identifier: 33613863

Publication URI: http://europepmc.org/abstract/MED/33613863

Type: Journal Article/Review

Volume: 19

Parent Publication: Computational and structural biotechnology journal

ISSN: 2001-0370