Single-Cell Analysis in the
CTCs
bioinformatic approaches
cancer
omics
precision medicine
single-cell analysis
Journal
Genes
ISSN: 2073-4425
Titre abrégé: Genes (Basel)
Pays: Switzerland
ID NLM: 101551097
Informations de publication
Date de publication:
24 06 2023
24 06 2023
Historique:
received:
22
05
2023
revised:
16
06
2023
accepted:
20
06
2023
medline:
31
7
2023
pubmed:
29
7
2023
entrez:
29
7
2023
Statut:
epublish
Résumé
Cancer molecular profiling obtained with conventional bulk sequencing describes average alterations obtained from the entire cellular population analyzed. In the era of precision medicine, this approach is unable to track tumor heterogeneity and cannot be exploited to unravel the biological processes behind clonal evolution. In the last few years, functional single-cell
Identifiants
pubmed: 37510235
pii: genes14071330
doi: 10.3390/genes14071330
pmc: PMC10380065
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
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