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Identifying causal genes and dysregulated pathways in complex diseases

Identifying causal genes and dysregulated pathways in complex diseases

http://www.wikidata.org/entity/Q28477327

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Understanding Genotype-Phenotype Effects in Cancer via Network Approaches Comparative Transcriptomes and EVO-DEVO Studies Depending on Next Generation Sequencing Trespassing cancer cells: 'fingerprinting' invasive protrusions reveals metastatic culprits Systematic genetic analysis identifies Cis-eQTL target genes associated with glioblastoma patient survival Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties Cancer missense mutations alter binding properties of proteins and their interaction networks Identifying Driver Genomic Alterations in Cancers by Searching Minimum-Weight, Mutually Exclusive Sets Structural bioinformatics of the interactome.β-Catenin is central to DUX4-driven network rewiring in facioscapulohumeral muscular dystrophy.Computational solutions for omics data.Network analysis of GWAS data Integration of transcription and flux data reveals molecular paths associated with differences in oxygen-dependent phenotypes of Saccharomyces cerevisiae.Identifying core gene modules in glioblastoma based on multilayer factor-mediated dysfunctional regulatory networks through integrating multi-dimensional genomic data.Outlier Analysis and Top Scoring Pair for Integrated Data Analysis and Biomarker Discovery.Identification of potential COPD genes based on multi-omics data at the functional level.Network-Based Integration of Disparate Omic Data To Identify "Silent Players" in Cancer Network integration meets network dynamics.Identification of dysfunctional modules and disease genes in congenital heart disease by a network-based approach.Systems-based analyses of brain regions functionally impacted in Parkinson's disease reveals underlying causal mechanisms SteinerNet: a web server for integrating 'omic' data to discover hidden components of response pathways.Integrated exon level expression analysis of driver genes explain their role in colorectal cancer.Combined analysis of genome-wide expression and copy number profiles to identify key altered genomic regions in cancer.Chapter 5: Network biology approach to complex diseases.Genome-wide associations of signaling pathways in glioblastoma multiforme Network-based survival analysis reveals subnetwork signatures for predicting outcomes of ovarian cancer treatment.An integrated approach to uncover driver genes in breast cancer methylation genomes.Pathway activity inference for multiclass disease classification through a mathematical programming optimisation framework.Bridging the Gap between Genotype and Phenotype via Network Approaches.eQTL Epistasis - Challenges and Computational Approaches.Dissecting cancer heterogeneity with a probabilistic genotype-phenotype model.Pathways-driven sparse regression identifies pathways and genes associated with high-density lipoprotein cholesterol in two Asian cohorts Modeling information flow in biological networks NERI: network-medicine based integrative approach for disease gene prioritization by relative importance Genotype distribution-based inference of collective effects in genome-wide association studies: insights to age-related macular degeneration disease mechanism.An argument for mechanism-based statistical inference in cancer.Clustering and Network Analysis of Reverse Phase Protein Array Data.Simultaneous reconstruction of multiple signaling pathways via the prize-collecting steiner forest problem Module cover - a new approach to genotype-phenotype studies.Genome-wide association study in a Chinese population identifies a susceptibility locus for type 2 diabetes at 7q32 near PAX4.Identifying proteins controlling key disease signaling pathways

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Identifying causal genes and dysregulated pathways in complex diseases

http://www.wikidata.org/entity/Q28477327

description

2011 nî lūn-bûn

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2011 թուականի Մարտին հրատարակուած գիտական յօդուած

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2011 թվականի մարտին հրատարակված գիտական հոդված

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2011年の論文

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2011年論文

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2011年論文

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2011年論文

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2011年論文

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2011年論文

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2011年论文

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name

Identifying causal genes and dysregulated pathways in complex diseases

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Identifying causal genes and dysregulated pathways in complex diseases

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Identifying causal genes and dysregulated pathways in complex diseases

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type

label

Identifying causal genes and dysregulated pathways in complex diseases

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Identifying causal genes and dysregulated pathways in complex diseases

@en

Identifying causal genes and dysregulated pathways in complex diseases

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prefLabel

Identifying causal genes and dysregulated pathways in complex diseases

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Identifying causal genes and dysregulated pathways in complex diseases

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Identifying causal genes and dysregulated pathways in complex diseases

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JOURNAL.PCBI.1001095

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PLOS Computational Biology

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Identifying causal genes and dysregulated pathways in complex diseases

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Stefan Wuchty

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Yoo-Ah Kim

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P2860

Why do hubs in the yeast protein interaction network tend to be essential: reexamining the connection between the network topology and essentiality

AceView: a comprehensive cDNA-supported gene and transcripts annotation

Bioconductor: open software development for computational biology and bioinformatics

Towards a proteome-scale map of the human protein–protein interaction network

GBAS, a novel gene encoding a protein with tyrosine phosphorylation sites and a transmembrane domain, is co-amplified with EGFR

A human protein-protein interaction network: a resource for annotating the proteome

Human protein reference database as a discovery resource for proteomics

Large-scale mapping of human protein-protein interactions by mass spectrometry

MINT: the Molecular INTeraction database

MAPPFinder: using Gene Ontology and GenMAPP to create a global gene-expression profile from microarray data

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Teresa M. Przytycka

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