Comparison of gene expression patterns across 12 tumor types identifies a cancer supercluster characterized by TP53 mutations and cell cycle defects
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TP53 Mutations and Survival in Osteosarcoma Patients: A Meta-Analysis of Published Data.Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of originProfiling of Discrete Gynecological Cancers Reveals Novel Transcriptional Modules and Common Features Shared by Other Cancer Types and Embryonic Stem Cells.Informative gene selection and the direct classification of tumors based on relative simplicity.Systematic pan-cancer analysis of tumour purity.Pan-cancer subtyping in a 2D-map shows substructures that are driven by specific combinations of molecular characteristics.Immunomediated Pan-cancer Regulation Networks are Dominant Fingerprints After Treatment of Cell Lines with Demethylation.Expression signature distinguishing two tumour transcriptome classes associated with progression-free survival among rare histological types of epithelial ovarian cancerTranscriptional response profiles of paired tumor-normal samples offer novel perspectives in pan-cancer analysis.Pan-urologic cancer genomic subtypes that transcend tissue of origin.Systematic analysis of telomere length and somatic alterations in 31 cancer types.Identification of a multi-cancer gene expression biomarker for cancer clinical outcomes using a network-based algorithm.Harnessing OLIG2 function in tumorigenicity and plasticity to target malignant gliomas.Tumor Evolution of Glioma-Intrinsic Gene Expression Subtypes Associates with Immunological Changes in the Microenvironment.Optimizing prognosis-related key miRNA-target interactions responsible for cancer metastasis.Network analysis revealed aurora kinase dysregulation in five gynecological types of cancer.Double agents: genes with both oncogenic and tumor-suppressor functions.Sorting Five Human Tumor Types Reveals Specific Biomarkers and Background Classification Genes.AUCTSP: an improved biomarker gene pair class predictor.Network integration of multi-tumour omics data suggests novel targeting strategies
P2860
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P2860
Comparison of gene expression patterns across 12 tumor types identifies a cancer supercluster characterized by TP53 mutations and cell cycle defects
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2014 nî lūn-bûn
@nan
2014 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Comparison of gene expression ...... tations and cell cycle defects
@ast
Comparison of gene expression ...... tations and cell cycle defects
@en
type
label
Comparison of gene expression ...... tations and cell cycle defects
@ast
Comparison of gene expression ...... tations and cell cycle defects
@en
prefLabel
Comparison of gene expression ...... tations and cell cycle defects
@ast
Comparison of gene expression ...... tations and cell cycle defects
@en
P2093
P2860
P50
P356
P1433
P1476
Comparison of gene expression ...... tations and cell cycle defects
@en
P2093
E Martínez
R G W Verhaak
P2860
P2888
P304
P356
10.1038/ONC.2014.216
P407
P577
2014-08-04T00:00:00Z