Opportunities for Single-Cell Sequencing Technologies and Data Science.


Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
19 Nov 2020
Historique:
received: 13 11 2020
accepted: 17 11 2020
entrez: 24 11 2020
pubmed: 25 11 2020
medline: 25 11 2020
Statut: epublish

Résumé

This Special Issue on "Single-cell Data Science" aims to highlight recent advances in the area of single-cell sequencing technologies and data analytics [...].

Identifiants

pubmed: 33227959
pii: cancers12113433
doi: 10.3390/cancers12113433
pmc: PMC7699216
pii:
doi:

Types de publication

Editorial

Langues

eng

Références

Exp Mol Med. 2020 Sep;52(9):1428-1442
pubmed: 32929225
Exp Mol Med. 2020 Sep;52(9):1419-1427
pubmed: 32929221
Nat Med. 2020 Feb;26(2):171-177
pubmed: 32015555
Trends Cancer. 2018 Jul;4(7):463-465
pubmed: 29937043
Exp Mol Med. 2020 Sep;52(9):1409-1418
pubmed: 32929222
Genome Biol. 2020 Feb 7;21(1):31
pubmed: 32033589
Sci Transl Med. 2017 Sep 20;9(408):
pubmed: 28931656

Auteurs

Lisa Maria Mustachio (LM)

Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Jason Roszik (J)

Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Department of Melanoma Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Classifications MeSH