Identifying disease genes and module biomarkers by differential interactions
about
Network biomarkers reveal dysfunctional gene regulations during disease progressionPathway mapping and development of disease-specific biomarkers: protein-based network biomarkersEfficient and biologically relevant consensus strategy for Parkinson's disease gene prioritization.Identification of Biomarker and Co-Regulatory Motifs in Lung Adenocarcinoma Based on Differential InteractionsPersonalized characterization of diseases using sample-specific networksMCentridFS: a tool for identifying module biomarkers for multi-phenotypes from high-throughput data.Identifying network-based biomarkers of complex diseases from high-throughput data.Integrative analysis reveals disease-associated genes and biomarkers for prostate cancer progression.Proteome-wide prediction of protein-protein interactions from high-throughput data.Circulating microRNAs as a fingerprint for endometrial endometrioid adenocarcinoma.Detecting early-warning signals of type 1 diabetes and its leading biomolecular networks by dynamical network biomarkers.Curation-free biomodules mechanisms in prostate cancer predict recurrent disease.Conditional mutual inclusive information enables accurate quantification of associations in gene regulatory networks.Identifying critical differentiation state of MCF-7 cells for breast cancer by dynamical network biomarkers.Quantitative assessment of gene expression network module-validation methodsSuboptimal cytoreduction in ovarian carcinoma is associated with molecular pathways characteristic of increased stromal activationSpatio-temporal analysis of type 2 diabetes mellitus based on differential expression networks.An integrated approach to identify causal network modules of complex diseases with application to colorectal cancerPredicting Diagnostic Gene Biomarkers for Non-Small-Cell Lung Cancer.Identifying module biomarkers from gastric cancer by differential correlation networkRecent trends in biomedical informatics: a study based on JAMIA articles.Edge biomarkers for classification and prediction of phenotypes.Detecting disease genes of non-small lung cancer based on consistently differential interactions.A systematic approach to prioritize drug targets using machine learning, a molecular descriptor-based classification model, and high-throughput screening of plant derived molecules: a case study in oral cancer.Integrating Heterogeneous Datasets for Cancer Module Identification.Identification of Gene and MicroRNA Signatures for Oral Cancer Developed from Oral Leukoplakia.The TF-miRNA Coregulation Network in Oral Lichen Planus.Mutated genes and driver pathways involved in myelodysplastic syndromes—a transcriptome sequencing based approach.Diagnosing phenotypes of single-sample individuals by edge biomarkers.Integrating omics data and protein interaction networks to prioritize driver genes in cancer.Evaluating predictive performance of network biomarkers with network structures.Development of serum parameters panels for the early detection of pancreatic cancer.Detecting the tipping points in a three-state model of complex diseases by temporal differential networks.A novel algorithm for finding optimal driver nodes to target control complex networks and its applications for drug targets identification.Mathematical modeling and computational prediction of cancer drug resistance.Detecting tissue-specific early warning signals for complex diseases based on dynamical network biomarkers: study of type 2 diabetes by cross-tissue analysis.Candidate genes in gastric cancer identified by constructing a weighted gene co-expression network.MGOGP: a gene module-based heuristic algorithm for cancer-related gene prioritization.
P2860
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P2860
Identifying disease genes and module biomarkers by differential interactions
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Identifying disease genes and module biomarkers by differential interactions
@ast
Identifying disease genes and module biomarkers by differential interactions
@en
type
label
Identifying disease genes and module biomarkers by differential interactions
@ast
Identifying disease genes and module biomarkers by differential interactions
@en
prefLabel
Identifying disease genes and module biomarkers by differential interactions
@ast
Identifying disease genes and module biomarkers by differential interactions
@en
P2093
P2860
P1476
Identifying disease genes and module biomarkers by differential interactions
@en
P2093
Luonan Chen
Xiaoping Liu
Xing-Ming Zhao
Zhi-Ping Liu
P2860
P304
P356
10.1136/AMIAJNL-2011-000658
P577
2011-12-20T00:00:00Z