DEGAS: de novo discovery of dysregulated pathways in human diseases - Wikidata - awgldk - TriplyDB

DEGAS: de novo discovery of dysregulated pathways in human diseases

DEGAS: de novo discovery of dysregulated pathways in human diseases

http://www.wikidata.org/entity/Q28475850

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Understanding Genotype-Phenotype Effects in Cancer via Network Approaches Systems biology approaches for discovering biomarkers for traumatic brain injury Network biomarkers reveal dysfunctional gene regulations during disease progression Drug target prediction and repositioning using an integrated network-based approach Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties Systems level analysis and identification of pathways and networks associated with liver fibrosis Identifying Driver Genomic Alterations in Cancers by Searching Minimum-Weight, Mutually Exclusive Sets Leveraging models of cell regulation and GWAS data in integrative network-based association studies An integrative network algorithm identifies age-associated differential methylation interactome hotspots targeting stem-cell differentiation pathways Structural bioinformatics of the interactome.Reconciling differential gene expression data with molecular interaction networks Computational solutions for omics data.Functional module search in protein networks based on semantic similarity improves the analysis of proteomics data.Graphical algorithm for integration of genetic and biological data: proof of principle using psoriasis as a model Outlier Analysis and Top Scoring Pair for Integrated Data Analysis and Biomarker Discovery.Regulatory network operations in the Pathway Tools software.Reverse engineering molecular hypergraphs Benchmarking selected computational gene network growing tools in context of virus-host interactions.Protein networks as logic functions in development and cancer.Network-based analysis reveals distinct association patterns in a semantic MEDLINE-based drug-disease-gene network.Sensitive detection of pathway perturbations in cancers A critical evaluation of network and pathway-based classifiers for outcome prediction in breast cancer Identifying dysregulated pathways in cancers from pathway interaction networks.Biosignatures for Parkinson's disease and atypical parkinsonian disorders patients.Chapter 5: Network biology approach to complex diseases.Detecting recurrent gene mutation in interaction network context using multi-scale graph diffusion.Assessment of subnetwork detection methods for breast cancer Bridging the Gap between Genotype and Phenotype via Network Approaches.Dissecting cancer heterogeneity with a probabilistic genotype-phenotype model.The discovery of integrated gene networks for autism and related disorders.KeyPathwayMiner 4.0: condition-specific pathway analysis by combining multiple omics studies and networks with Cytoscape.Increased 14-3-3 phosphorylation observed in Parkinson's disease reduces neuroprotective potential of 14-3-3 proteins.An integer linear programming approach for finding deregulated subgraphs in regulatory networks.14-3-3 inhibition promotes dopaminergic neuron loss and 14-3-3θ overexpression promotes recovery in the MPTP mouse model of Parkinson's disease.An argument for mechanism-based statistical inference in cancer.MinePath: Mining for Phenotype Differential Sub-paths in Molecular Pathways.14-3-3 Proteins regulate mutant LRRK2 kinase activity and neurite shortening.Module cover - a new approach to genotype-phenotype studies.Network-Informed Gene Ranking Tackles Genetic Heterogeneity in Exome-Sequencing Studies of Monogenic Disease α-Synuclein overexpression represses 14-3-3θ transcription.

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DEGAS: de novo discovery of dysregulated pathways in human diseases

http://www.wikidata.org/entity/Q28475850

description

2010 nî lūn-bûn

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2010 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

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2010 թվականի հոտեմբերին հրատարակված գիտական հոդված

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2010年の論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年论文

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name

DEGAS: de novo discovery of dysregulated pathways in human diseases

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DEGAS: de novo discovery of dysregulated pathways in human diseases

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DEGAS: de novo discovery of dysregulated pathways in human diseases

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DEGAS: de novo discovery of dysregulated pathways in human diseases

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DEGAS: de novo discovery of dysregulated pathways in human diseases

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DEGAS: de novo discovery of dysregulated pathways in human diseases

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DEGAS: de novo discovery of dysregulated pathways in human diseases

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DEGAS: de novo discovery of dysregulated pathways in human diseases

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DEGAS: de novo discovery of dysregulated pathways in human diseases

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DEGAS: de novo discovery of dysregulated pathways in human diseases

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Akshay Krishnamurthy

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Igor Ulitsky

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Ron Shamir

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P2860

Identification of functional modules using network topology and high-throughput data.

A genomic pathway approach to a complex disease: axon guidance and Parkinson disease

Molecular markers of early Parkinson's disease based on gene expression in blood

Interaction of Akt-phosphorylated SRPK2 with 14-3-3 mediates cell cycle and cell death in neurons

DJ-1 transcriptionally up-regulates the human tyrosine hydroxylase by inhibiting the sumoylation of pyrimidine tract-binding protein-associated splicing factor

KEGG: kyoto encyclopedia of genes and genomes

Cytoscape: a software environment for integrated models of biomolecular interaction networks

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Gene indexing: characterization and analysis of NLM's GeneRIFs

A census of human cancer genes

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10

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Richard M. Karp

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47545438

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