An integrative multi-dimensional genetic and epigenetic strategy to identify aberrant genes and pathways in cancer.
about
Evidence of epigenetic regulation of the tumor suppressor gene cluster flanking RASSF1 in breast cancer cell linesSystems Biology in Kidney Transplantation: The Application of Multi-Omics to a Complex Model.Identifying in-trans process associated genes in breast cancer by integrated analysis of copy number and expression dataReconstructing targetable pathways in lung cancer by integrating diverse omics dataRelative impact of multi-layered genomic data on gene expression phenotypes in serous ovarian tumors.Identification of potential COPD genes based on multi-omics data at the functional level.Methods for the integration of multi-omics data: mathematical aspectsSIFORM: shared informative factor models for integration of multi-platform bioinformatic data.More Is Better: Recent Progress in Multi-Omics Data Integration MethodsLinear and non-linear dependencies between copy number aberrations and mRNA expression reveal distinct molecular pathways in breast cancer.Integrative analysis reveals disease-associated genes and biomarkers for prostate cancer progression.Integrating multi-omics for uncovering the architecture of cross-talking pathways in breast cancer.The breast cancer genome--a key for better oncologyBatch effect correction for genome-wide methylation data with Illumina Infinium platform.Dysfunctions associated with methylation, microRNA expression and gene expression in lung cancerDeciphering squamous cell carcinoma using multidimensional genomic approaches.Conserved and divergent patterns of DNA methylation in higher vertebrates.Identification of regulatory SNPs associated with genetic modifications in lung adenocarcinoma.Translating cancer 'omics' to improved outcomes.Single nucleotide polymorphism microarray analysis in cortisol-secreting adrenocortical adenomas identifies new candidate genes and pathways.Developmental genes significantly afflicted by aberrant promoter methylation and somatic mutation predict overall survival of late-stage colorectal cancer.Combining multi-dimensional data to identify key genes and pathways in gastric cancerIdentification of genes with consistent methylation levels across different human tissues.Integrative analysis reveals relationships of genetic and epigenetic alterations in osteosarcomaIntegrated genomic profiling identifies loss of chromosome 11p impacting transcriptomic activity in aggressive pituitary PRL tumors.Integrative analysis of gene expression and methylation data for breast cancer cell lines.Data integration by multi-tuning parameter elastic net regression
P2860
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P2860
An integrative multi-dimensional genetic and epigenetic strategy to identify aberrant genes and pathways in cancer.
description
2010 nî lūn-bûn
@nan
2010 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
An integrative multi-dimension ...... genes and pathways in cancer.
@ast
An integrative multi-dimension ...... genes and pathways in cancer.
@en
An integrative multi-dimension ...... genes and pathways in cancer.
@nl
type
label
An integrative multi-dimension ...... genes and pathways in cancer.
@ast
An integrative multi-dimension ...... genes and pathways in cancer.
@en
An integrative multi-dimension ...... genes and pathways in cancer.
@nl
prefLabel
An integrative multi-dimension ...... genes and pathways in cancer.
@ast
An integrative multi-dimension ...... genes and pathways in cancer.
@en
An integrative multi-dimension ...... genes and pathways in cancer.
@nl
P2093
P2860
P356
P1433
P1476
An integrative multi-dimension ...... genes and pathways in cancer.
@en
P2093
Bradley P Coe
William W Lockwood
P2860
P2888
P356
10.1186/1752-0509-4-67
P577
2010-05-17T00:00:00Z
P5875
P6179
1003005098