A network module-based method for identifying cancer prognostic signatures
about
CHD8 regulates neurodevelopmental pathways associated with autism spectrum disorder in neural progenitorsIntegrative analysis of cancer imaging readouts by networksThe `dnet’ approach promotes emerging research on cancer patient survivalAltered lipid metabolism in the aging kidney identified by three layered omic analysisTotal particulate matter concentration skews cigarette smoke's gene expression profilet4 workshop report: Pathways of ToxicityPathway and network analysis of cancer genomesA pan-cancer analysis of prognostic genes.ReactomeFIViz: a Cytoscape app for pathway and network-based data analysis.Predicting cancer prognosis using functional genomics data sets.Analyzing large gene expression and methylation data profiles using StatBicRM: statistical biclustering-based rule mining.Tools for visualization and analysis of molecular networks, pathways, and -omics data.A New Approach for Identification of Cancer-related Pathways using Protein Networks and Genomic Data.Identification of breast cancer prognostic modules based on weighted protein-protein interaction networks.On the performance of de novo pathway enrichment.Biological mechanisms discriminating growth rate and adult body weight phenotypes in two Chinese indigenous chicken breedsSelecting biologically informative genes in co-expression networks with a centrality score.Identifying the gene signatures from gene-pathway bipartite network guarantees the robust model performance on predicting the cancer prognosis.A pan-cancer modular regulatory network analysis to identify common and cancer-specific network components.MultiNotch MS3 enables accurate, sensitive, and multiplexed detection of differential expression across cancer cell line proteomes.Learning regulatory programs by threshold SVD regression.Finding gene regulatory network candidates using the gene expression knowledge base.Using random walks to identify cancer-associated modules in expression dataENCAPP: elastic-net-based prognosis prediction and biomarker discovery for human cancersMicroRNAs are part of the regulatory network that controls EGF induced apoptosis, including elements of the JAK/STAT pathway, in A431 cells.Treatment-induced cell cycle kinetics dictate tumor response to chemotherapyModeling cancer metabolism on a genome scale.Context-specific functional module based drug efficacy prediction.Dissecting the Origin of Breast Cancer Subtype Stem Cell and the Potential Mechanism of Malignant Transformation.MinePath: Mining for Phenotype Differential Sub-paths in Molecular Pathways.Identification and evaluation of network modules for the prognosis of basal-like breast cancerComprehensive analysis of lncRNA-mRNA co-expression patterns identifies immune-associated lncRNA biomarkers in ovarian cancer malignant progressionConstruction and analysis of lncRNA-lncRNA synergistic networks to reveal clinically relevant lncRNAs in cancer.Particulate Air Pollution Exposure and Expression of Viral and Human MicroRNAs in Blood: The Beijing Truck Driver Air Pollution StudyA network-pathway based module identification for predicting the prognosis of ovarian cancer patients.Identification of prognostic biomarkers in glioblastoma using a long non-coding RNA-mediated, competitive endogenous RNA networkComprehensive characterization of lncRNA-mRNA related ceRNA network across 12 major cancers.Breast tumor subgroups reveal diverse clinical prognostic power.Genome variation and personalized cancer medicine.Identifying prognostic signature in ovarian cancer using DirGenerank
P2860
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P2860
A network module-based method for identifying cancer prognostic signatures
description
2012 nî lūn-bûn
@nan
2012 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
A network module-based method for identifying cancer prognostic signatures
@ast
A network module-based method for identifying cancer prognostic signatures
@en
A network module-based method for identifying cancer prognostic signatures
@nl
type
label
A network module-based method for identifying cancer prognostic signatures
@ast
A network module-based method for identifying cancer prognostic signatures
@en
A network module-based method for identifying cancer prognostic signatures
@nl
prefLabel
A network module-based method for identifying cancer prognostic signatures
@ast
A network module-based method for identifying cancer prognostic signatures
@en
A network module-based method for identifying cancer prognostic signatures
@nl
P2860
P1433
P1476
A network module-based method for identifying cancer prognostic signatures
@en
P2093
Guanming Wu
P2860
P2888
P356
10.1186/GB-2012-13-12-R112
P577
2012-12-10T00:00:00Z
P5875
P6179
1043619512