Protein interactions and disease: computational approaches to uncover the etiology of diseases.
about
Advances in translational bioinformatics: computational approaches for the hunting of disease genesThe implications of human metabolic network topology for disease comorbidityLinking gene expression and functional network data in human heart failureHuman cancer protein-protein interaction network: a structural perspectiveYeast biological networks unfold the interplay of antioxidants, genome and phenotype, and reveal a novel regulator of the oxidative stress responseIntegrated bio-entity network: a system for biological knowledge discoverySemFunSim: a new method for measuring disease similarity by integrating semantic and gene functional associationMolecular mechanistic associations of human diseasesA survey of protein interaction data and multigenic inherited disordersNetwork analysis of ChIP-Seq data reveals key genes in prostate cancer.Modularity-based credible prediction of disease genes and detection of disease subtypes on the phenotype-gene heterogeneous network.Disease candidate gene identification and prioritization using protein interaction networksAnalysis of AML genes in dysregulated molecular networksMechanism-anchored profiling derived from epigenetic networks predicts outcome in acute lymphoblastic leukemiaPrediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methodsDetecting disease associated modules and prioritizing active genes based on high throughput data.Cross-disorder comparative analysis of comorbid conditions reveals novel autism candidate genesA quantitative approach to study indirect effects among disease proteins in the human protein interaction network.Scoring docking conformations using predicted protein interfaces.The power of protein interaction networks for associating genes with diseases.Identification of novel dysregulated key genes in Breast cancer through high throughput ChIP-Seq data analysis.An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods.Pathway reconstruction of airway remodeling in chronic lung diseases: a systems biology approach.A comprehensive analysis of the dynamic biological networks in HCV induced hepatocarcinogenesis.Improving disease gene prioritization using the semantic similarity of Gene Ontology termsExploiting protein-protein interaction networks for genome-wide disease-gene prioritizationPrediction of human disease-related gene clusters by clustering analysisChapter 4: Protein interactions and disease.Joint analysis for integrating two related studies of different data types and different study designs using hierarchical modeling approaches.Breast cancer subtyping from plasma proteins.ToppGene Suite for gene list enrichment analysis and candidate gene prioritizationIntegrating structure to protein-protein interaction networks that drive metastasis to brain and lung in breast cancer.An allele of sequoia dominantly enhances a trio mutant phenotype to influence Drosophila larval behavior.A systems biology investigation of neurodegenerative dementia reveals a pivotal role of autophagy.Structural analysis of hubs in human NR-RTK network.CARDIO-PRED: an in silico tool for predicting cardiovascular-disorder associated proteinsSmall-angle X-ray scattering method to characterize molecular interactions: Proof of conceptPrioritizing cancer-related key miRNA-target interactions by integrative genomics.Predicting disease-related subnetworks for type 1 diabetes using a new network activity score.A Review of Recent Advancement in Integrating Omics Data with Literature Mining towards Biomedical Discoveries.
P2860
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P2860
Protein interactions and disease: computational approaches to uncover the etiology of diseases.
description
2007 nî lūn-bûn
@nan
2007 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Protein interactions and disea ...... over the etiology of diseases.
@ast
Protein interactions and disea ...... over the etiology of diseases.
@en
type
label
Protein interactions and disea ...... over the etiology of diseases.
@ast
Protein interactions and disea ...... over the etiology of diseases.
@en
prefLabel
Protein interactions and disea ...... over the etiology of diseases.
@ast
Protein interactions and disea ...... over the etiology of diseases.
@en
P356
P1476
Protein interactions and disea ...... over the etiology of diseases.
@en
P2093
Maricel G Kann
P304
P356
10.1093/BIB/BBM031
P577
2007-07-16T00:00:00Z