An integrated approach to identify causal network modules of complex diseases with application to colorectal cancer
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Strategies for Integrated Analysis of Genetic, Epigenetic, and Gene Expression Variation in Cancer: Addressing the ChallengesNetwork biomarkers reveal dysfunctional gene regulations during disease progressionIntegrative analysis of cancer imaging readouts by networksEfficient and biologically relevant consensus strategy for Parkinson's disease gene prioritization.Trends in biomedical informatics: automated topic analysis of JAMIA articlesMCentridFS: a tool for identifying module biomarkers for multi-phenotypes from high-throughput data.Predicting cancer prognosis using functional genomics data sets.Identifying network biomarkers based on protein-protein interactions and expression data.Identifying network-based biomarkers of complex diseases from high-throughput data.Co-expression network-based analysis of hippocampal expression data associated with Alzheimer's disease using a novel algorithm.Gender-specific DNA methylome analysis of a Han Chinese longevity populationIntegrative analysis reveals disease-associated genes and biomarkers for prostate cancer progression.Integrated exon level expression analysis of driver genes explain their role in colorectal cancer.Multi-analyte network markers for tumor prognosis.Detecting early-warning signals of type 1 diabetes and its leading biomolecular networks by dynamical network biomarkers.Investigation of anti-cancer mechanisms by comparative analysis of naked mole rat and rat.Big biological data: challenges and opportunitiesQuantitative assessment of gene expression network module-validation methodsComparative network stratification analysis for identifying functional interpretable network biomarkers.ellipsoidFN: a tool for identifying a heterogeneous set of cancer biomarkers based on gene expressions.Quantitative Identification of Compound-Dependent On-Modules and Differential Allosteric Modules From Homologous Ischemic Networks.Defining a comprehensive verotype using electronic health records for personalized medicine.Recent trends in biomedical informatics: a study based on JAMIA articles.Network-based drug repositioning.Edge biomarkers for classification and prediction of phenotypes.Network stratification analysis for identifying function-specific network layers.Integrating Heterogeneous Datasets for Cancer Module Identification.Disseminating informatics knowledge and training the next generation of leaders.Functional and protein‑protein interaction network analysis of colorectal cancer induced by ulcerative colitis.Identification of potential tissue-specific cancer biomarkers and development of cancer versus normal genomic classifiers.Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors.Network-Wide Screen Identifies Variation of Novel Precise On-Module Targets Using Conformational Modudaoism.MGOGP: a gene module-based heuristic algorithm for cancer-related gene prioritization.
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An integrated approach to identify causal network modules of complex diseases with application to colorectal cancer
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 11 September 2012
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
An integrated approach to iden ...... plication to colorectal cancer
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An integrated approach to iden ...... lication to colorectal cancer.
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type
label
An integrated approach to iden ...... plication to colorectal cancer
@en
An integrated approach to iden ...... lication to colorectal cancer.
@nl
prefLabel
An integrated approach to iden ...... plication to colorectal cancer
@en
An integrated approach to iden ...... lication to colorectal cancer.
@nl
P2093
P2860
P1476
An integrated approach to iden ...... plication to colorectal cancer
@en
P2093
Luonan Chen
Zhengrong Liu
Zhenshu Wen
Zhi-Ping Liu
P2860
P304
P356
10.1136/AMIAJNL-2012-001168
P577
2012-09-11T00:00:00Z