Cargando…
Bottom-up, integrated -omics analysis identifies broadly dosage-sensitive genes in breast cancer samples from TCGA
The massive genomic data from The Cancer Genome Atlas (TCGA), including proteomics data from Clinical Proteomic Tumor Analysis Consortium (CPTAC), provides a unique opportunity to study cancer systematically. While most observations are made from a single type of genomics data, we apply big data ana...
Autores principales: | Kechavarzi, Bobak D., Wu, Huanmei, Doman, Thompson N. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6336338/ https://www.ncbi.nlm.nih.gov/pubmed/30653567 http://dx.doi.org/10.1371/journal.pone.0210910 |
Ejemplares similares
-
Dissecting the expression landscape of RNA-binding proteins in human cancers
por: Kechavarzi, Bobak, et al.
Publicado: (2014) -
Bottom-Up Proteomics: Advancements in Sample Preparation
por: Duong, Van-An, et al.
Publicado: (2023) -
Bottom-up proteomics analysis for adduction of the broad-spectrum herbicide atrazine to histone
por: Chu, Shaogang, et al.
Publicado: (2023) -
Identification of Prognostic Dosage-Sensitive Genes in Colorectal Cancer Based on Multi-Omics
por: Chang, Zhiqiang, et al.
Publicado: (2020) -
Integrative analysis of TCGA data identifies miRNAs as drug-specific survival biomarkers
por: Lin, Shuting, et al.
Publicado: (2022)