Align human interactome with phenome to identify causative genes and networks underlying disease families.
about
Comparison of an expanded ataxia interactome with patient medical records reveals a relationship between macular degeneration and ataxiaA human B-cell interactome identifies MYB and FOXM1 as master regulators of proliferation in germinal centersStructure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewAssociating genes and protein complexes with disease via network propagationNetwork-based elucidation of human disease similarities reveals common functional modules enriched for pluripotent drug targetsSemFunSim: a new method for measuring disease similarity by integrating semantic and gene functional associationThe human disease network in terms of dysfunctional regulatory mechanismsDisease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network modelPrioritizing protein complexes implicated in human diseases by network optimizationWalking on a tissue-specific disease-protein-complex heterogeneous network for the discovery of disease-related protein complexesIntegrating human omics data to prioritize candidate genesMolecular mechanistic associations of human diseasesNetwork analysis of GWAS dataIntegrating multiple genomic data to predict disease-causing nonsynonymous single nucleotide variants in exome sequencing studies.Pinpointing disease genes through phenomic and genomic data fusion.Inferring gene-phenotype associations via global protein complex network propagationThe power of protein interaction networks for associating genes with diseases.Integrating multiple protein-protein interaction networks to prioritize disease genes: a Bayesian regression approachPrioritizing candidate disease genes by network-based boosting of genome-wide association data.A computational method based on the integration of heterogeneous networks for predicting disease-gene associations.A phenome-guided drug repositioning through a latent variable model.Constructing a gene semantic similarity network for the inference of disease genesPivotal role of the muscle-contraction pathway in cryptorchidism and evidence for genomic connections with cardiomyopathy pathways in RASopathies.Uncover disease genes by maximizing information flow in the phenome-interactome network.Network-based Phenome-Genome Association Prediction by Bi-Random Walk.Network-based gene prediction for Plasmodium falciparum malaria towards genetics-based drug discovery.Comparative analysis of a novel disease phenotype network based on clinical manifestationsA computational framework for the prioritization of disease-gene candidatesPhenome-driven disease genetics prediction toward drug discovery.Inferring Crohn's disease association from exome sequences by integrating biological knowledge.Phenome-based gene discovery provides information about Parkinson's disease drug targetsSoftPanel: a website for grouping diseases and related disorders for generation of customized panels.Dissecting disease inheritance modes in a three-dimensional protein network challenges the "guilt-by-association" principle.Recent approaches to the prioritization of candidate disease genes.Network medicine: linking disorders.Biological network analysis: insights into structure and functions.Searching for repetitions in biological networks: methods, resources and tools.Walking on multiple disease-gene networks to prioritize candidate genes.The biological coherence of human phenome databases.Biomechanisms of Comorbidity: Reviewing Integrative Analyses of Multi-omics Datasets and Electronic Health Records.
P2860
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P2860
Align human interactome with phenome to identify causative genes and networks underlying disease families.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh-hant
name
Align human interactome with p ...... s underlying disease families.
@en
Align human interactome with p ...... s underlying disease families.
@nl
type
label
Align human interactome with p ...... s underlying disease families.
@en
Align human interactome with p ...... s underlying disease families.
@nl
prefLabel
Align human interactome with p ...... s underlying disease families.
@en
Align human interactome with p ...... s underlying disease families.
@nl
P2860
P356
P1433
P1476
Align human interactome with p ...... ks underlying disease families
@en
P2093
Qifang Liu
P2860
P304
P356
10.1093/BIOINFORMATICS/BTN593
P407
P577
2008-11-13T00:00:00Z