Cargando…
Identification of High-Impact cis-Regulatory Mutations Using Transcription Factor Specific Random Forest Models
Cancer genomes contain vast amounts of somatic mutations, many of which are passenger mutations not involved in oncogenesis. Whereas driver mutations in protein-coding genes can be distinguished from passenger mutations based on their recurrence, non-coding mutations are usually not recurrent at the...
Autores principales: | Svetlichnyy, Dmitry, Imrichova, Hana, Fiers, Mark, Kalender Atak, Zeynep, Aerts, Stein |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4642938/ https://www.ncbi.nlm.nih.gov/pubmed/26562774 http://dx.doi.org/10.1371/journal.pcbi.1004590 |
Ejemplares similares
-
Identification of cis-regulatory mutations generating de novo edges in personalized cancer gene regulatory networks
por: Kalender Atak, Zeynep, et al.
Publicado: (2017) -
i-cisTarget 2015 update: generalized cis-regulatory enrichment analysis in human, mouse and fly
por: Imrichová, Hana, et al.
Publicado: (2015) -
Multiplex enhancer-reporter assays uncover unsophisticated TP53 enhancer logic
por: Verfaillie, Annelien, et al.
Publicado: (2016) -
iRegulon: From a Gene List to a Gene Regulatory Network Using Large Motif and Track Collections
por: Janky, Rekin's, et al.
Publicado: (2014) -
Decoding the regulatory landscape of melanoma reveals TEADS as regulators of the invasive cell state
por: Verfaillie, Annelien, et al.
Publicado: (2015)