An integrated approach to uncover driver genes in breast cancer methylation genomes.
about
An individualized prognostic signature for gastric cancer patients treated with 5-Fluorouracil-based chemotherapy and distinct multi-omics characteristics of prognostic groups.Expression of human endogenous retrovirus-K is strongly associated with the basal-like breast cancer phenotype.Individualized analysis reveals CpG sites with methylation aberrations in almost all lung adenocarcinoma tissues.Identifying CpG sites with different differential methylation frequencies in colorectal cancer tissues based on individualized differential methylation analysis.Multi-omics landscapes of colorectal cancer subtypes discriminated by an individualized prognostic signature for 5-fluorouracil-based chemotherapy.Identification of Novel Breast Cancer Subtype-Specific Biomarkers by Integrating Genomics Analysis of DNA Copy Number Aberrations and miRNA-mRNA Dual Expression Profiling.IndividualizedPath: identifying genetic alterations contributing to the dysfunctional pathways in glioblastoma individuals.Epigenomics alternations and dynamic transcriptional changes in responses to 5-fluorouracil stimulation reveal mechanisms of acquired drug resistance of colorectal cancer cells.Tumorigenic Cell Reprogramming and Cancer Plasticity: Interplay between Signaling, Microenvironment, and Epigenetics.
P2860
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P2860
An integrated approach to uncover driver genes in breast cancer methylation genomes.
description
2013 nî lūn-bûn
@nan
2013 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
An integrated approach to uncover driver genes in breast cancer methylation genomes.
@ast
An integrated approach to uncover driver genes in breast cancer methylation genomes.
@en
An integrated approach to uncover driver genes in breast cancer methylation genomes.
@nl
type
label
An integrated approach to uncover driver genes in breast cancer methylation genomes.
@ast
An integrated approach to uncover driver genes in breast cancer methylation genomes.
@en
An integrated approach to uncover driver genes in breast cancer methylation genomes.
@nl
prefLabel
An integrated approach to uncover driver genes in breast cancer methylation genomes.
@ast
An integrated approach to uncover driver genes in breast cancer methylation genomes.
@en
An integrated approach to uncover driver genes in breast cancer methylation genomes.
@nl
P2093
P2860
P1433
P1476
An integrated approach to uncover driver genes in breast cancer methylation genomes
@en
P2093
Chunxiang Hao
Chunyang Liu
Guini Hong
Hongdong Li
Tingting Zheng
Tongwei Shi
Wenjing Zhang
Xianxiao Zhou
P2860
P304
P356
10.1371/JOURNAL.PONE.0061214
P407
P50
P577
2013-04-08T00:00:00Z