Integrating whole genome sequencing, methylation, gene expression, topological associated domain information in regulatory mutation prediction: A study of follicular lymphoma.

Farooq, Amna; Trøen, Gunhild; Delabie, Jan; Wang, Junbai

Farooq, Amna; Trøen, Gunhild; Delabie, Jan; Wang, Junbai.

Afiliación

Farooq A; Department of Pathology, Oslo University Hospital - Norwegian Radium Hospital, Oslo, Norway.
Trøen G; Department of Pathology, Oslo University Hospital - Norwegian Radium Hospital, Oslo, Norway.
Delabie J; Laboratory Medicine Program, University Health Network and University of Toronto, Toronto, Ontario, Canada.
Wang J; Department of Clinical Molecular Biology, Institute of Clinical Medicine, University of Oslo, Norway.

Comput Struct Biotechnol J ; 20: 1726-1742, 2022.

Article en En | MEDLINE | ID: mdl-35495111

Palabras clave

3D chromatin domain; Cancer; Epigenome; Genome; Integrative data analysis; Machine learning; Regulatory mutation; T-distributed stochastic neighbor embedding, t-SNE; differentially expressed gene, DEG; differentially methylated region, DMR; follicular lymphoma, FL; group mean difference, GMD; principal component analysis, PCA; single nucleotide variation, SNV; topologically associated domain, TAD

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Comput Struct Biotechnol J Año: 2022 Tipo del documento: Article País de afiliación: Noruega

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