Cargando…
Identification of Genetic and Epigenetic Variants Associated with Breast Cancer Prognosis by Integrative Bioinformatics Analysis
INTRODUCTION: Breast cancer being a multifaceted disease constitutes a wide spectrum of histological and molecular variability in tumors. However, the task for the identification of these variances is complicated by the interplay between inherited genetic and epigenetic aberrations. Therefore, this...
Autores principales: | Shilpi, Arunima, Bi, Yingtao, Jung, Segun, Patra, Samir K., Davuluri, Ramana V. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5224237/ https://www.ncbi.nlm.nih.gov/pubmed/28096648 http://dx.doi.org/10.4137/CIN.S39783 |
Ejemplares similares
-
Evaluation of data discretization methods to derive platform independent isoform expression signatures for multi-class tumor subtyping
por: Jung, Segun, et al.
Publicado: (2015) -
NPEBseq: nonparametric empirical bayesian-based procedure for differential expression analysis of RNA-seq data
por: Bi, Yingtao, et al.
Publicado: (2013) -
Tree-Based Position Weight Matrix Approach to Model Transcription Factor Binding Site Profiles
por: Bi, Yingtao, et al.
Publicado: (2011) -
Comparative evaluation of isoform-level gene expression estimation algorithms for RNA-seq and exon-array platforms
por: Dapas, Matthew, et al.
Publicado: (2017) -
Identification and validation of regulatory SNPs that modulate transcription factor chromatin binding and gene expression in prostate cancer
por: Jin, Hong-Jian, et al.
Publicado: (2016)