Diffsig: Associating Risk Factors With Mutational Signatures.


Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
10 Feb 2023
Historique:
pubmed: 18 2 2023
medline: 18 2 2023
entrez: 17 2 2023
Statut: epublish

Résumé

Somatic mutational signatures elucidate molecular vulnerabilities to therapy and therefore detecting signatures and classifying tumors with respect to signatures has clinical value. However, identifying the etiology of the mutational signatures remains a statistical challenge, with both small sample sizes and high variability in classification algorithms posing barriers. As a result, few signatures have been strongly linked to particular risk factors. Here we present

Identifiants

pubmed: 36798154
doi: 10.1101/2023.02.09.527740
pmc: PMC9934616
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NCI NIH HHS
ID : R01 CA253450
Pays : United States

Auteurs

Ji-Eun Park (JE)

UNC-Chapel Hill.

Markia A Smith (MA)

UNC-Chapel Hill.

Sarah C Van Alsten (SC)

UNC-Chapel Hill.

Andrea Walens (A)

UNC-Chapel Hill.

Di Wu (D)

UNC-Chapel Hill.

Melissa A Troester (MA)

UNC-Chapel Hill.

Michael I Love (MI)

UNC-Chapel Hill.

Classifications MeSH