Identifying disease-specific genes based on their topological significance in protein networks. - Wikidata - wikimedia - TriplyDB

Identifying disease-specific genes based on their topological significance in protein networks.

Identifying disease-specific genes based on their topological significance in protein networks.

http://www.wikidata.org/entity/Q33421110

about

Use of data-biased random walks on graphs for the retrieval of context-specific networks from genomic data Integrated network analysis of transcriptomic and proteomic data in psoriasis Bioinformatics and systems biology Mice lacking the circadian modulators SHARP1 and SHARP2 display altered sleep and mixed state endophenotypes of psychiatric disorders Human embryonic stem cells and metastatic colorectal cancer cells shared the common endogenous human microRNA-26b Drug target prediction and repositioning using an integrated network-based approach Prospective molecular profiling of canine cancers provides a clinically relevant comparative model for evaluating personalized medicine (PMed) trials Development of a Drug-Response Modeling Framework to Identify Cell Line Derived Translational Biomarkers That Can Predict Treatment Outcome to Erlotinib or Sorafenib Integrated analysis of transcriptomic and proteomic data "Topological significance" analysis of gene expression and proteomic profiles from prostate cancer cells reveals key mechanisms of androgen response Comparative RNA-Seq and microarray analysis of gene expression changes in B-cell lymphomas of Canis familiaris.Knowledge-based analysis of proteomics data.A quantitative approach to study indirect effects among disease proteins in the human protein interaction network.A genetic network model of cellular responses to lithium treatment and cocaine abuse in bipolar disorder.A multiprotein binding interface in an intrinsically disordered region of the tumor suppressor protein interferon regulatory factor-1 Disease gene interaction pathways: a potential framework for how disease genes associate by disease-risk modules.Functional Genomics Assistant (FUGA): a toolbox for the analysis of complex biological networks.Systems-based analyses of brain regions functionally impacted in Parkinson's disease reveals underlying causal mechanisms A network-based approach on elucidating the multi-faceted nature of chronological aging in S. cerevisiae A systems biology approach reveals common metastatic pathways in osteosarcoma.Exploiting protein-protein interaction networks for genome-wide disease-gene prioritization Cell stiffness is a biomarker of the metastatic potential of ovarian cancer cells.A Steiner tree-based method for biomarker discovery and classification in breast cancer metastasis.Discovery and analysis of consistent active sub-networks in cancers.Efficient prediction of human protein-protein interactions at a global scale.Uncover disease genes by maximizing information flow in the phenome-interactome network.Systematic approaches towards the development of host-directed antiviral therapeutics.Gender-specific cytokine pathways, targets, and biomarkers for the switch from health to adenoma and colorectal cancer.Molecular Characterization of a Patient's Small Cell Carcinoma of the Ovary of the Hypercalcemic Type.Feasibility of implementing molecular-guided therapy for the treatment of patients with relapsed or refractory neuroblastoma.A longitudinal analysis of circulating stress-related proteins and chronic ethanol self-administration in cynomolgus macaques.Cancer develops, progresses and responds to therapies through restricted perturbation of the protein-protein interaction network.Network biology approach for identifying key regulatory genes by expression based study of breast cancer.Imbalanced network biomarkers for traditional Chinese medicine Syndrome in gastritis patients.A multi-site feasibility study for personalized medicine in canines with osteosarcoma.Molecular-guided therapy predictions reveal drug resistance phenotypes and treatment alternatives in malignant peripheral nerve sheath tumors.Functional genomics and networks: new approaches in the extraction of complex gene modules.IODNE: An integrated optimization method for identifying the deregulated subnetwork for precision medicine in cancer.Post-genomics and skin inflammation.Quantitative knowledge-based analysis in compound safety assessment.

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P2860

Identifying disease-specific genes based on their topological significance in protein networks.

http://www.wikidata.org/entity/Q33421110

description

2009 nî lūn-bûn

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2009 թուականի Մարտին հրատարակուած գիտական յօդուած

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2009 թվականի մարտին հրատարակված գիտական հոդված

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2009年の論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年论文

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Identifying disease-specific g ...... nificance in protein networks.

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Identifying disease-specific g ...... nificance in protein networks.

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Identifying disease-specific g ...... nificance in protein networks.

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Identifying disease-specific g ...... nificance in protein networks.

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Andrej Bugrim

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Craig Webb

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David Cherba

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Jeremy Miller

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Tatiana Nikolskaya

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Yuri Nikolsky

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Zoltán Dezso

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P2860

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

DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions

IntAct: an open source molecular interaction database

The Gene Ontology (GO) project in 2006

Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality

Network biology: understanding the cell's functional organization

Development of human protein reference database as an initial platform for approaching systems biology in humans

From molecular to modular cell biology

Network-based classification of breast cancer metastasis

BIND: the Biomolecular Interaction Network Database

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