Identifying disease-specific genes based on their topological significance in protein networks.
about
Use of data-biased random walks on graphs for the retrieval of context-specific networks from genomic dataIntegrated network analysis of transcriptomic and proteomic data in psoriasisBioinformatics and systems biologyMice lacking the circadian modulators SHARP1 and SHARP2 display altered sleep and mixed state endophenotypes of psychiatric disordersHuman embryonic stem cells and metastatic colorectal cancer cells shared the common endogenous human microRNA-26bDrug target prediction and repositioning using an integrated network-based approachProspective molecular profiling of canine cancers provides a clinically relevant comparative model for evaluating personalized medicine (PMed) trialsDevelopment of a Drug-Response Modeling Framework to Identify Cell Line Derived Translational Biomarkers That Can Predict Treatment Outcome to Erlotinib or SorafenibIntegrated analysis of transcriptomic and proteomic data"Topological significance" analysis of gene expression and proteomic profiles from prostate cancer cells reveals key mechanisms of androgen responseComparative 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-1Disease 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 mechanismsA network-based approach on elucidating the multi-faceted nature of chronological aging in S. cerevisiaeA systems biology approach reveals common metastatic pathways in osteosarcoma.Exploiting protein-protein interaction networks for genome-wide disease-gene prioritizationCell 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.
P2860
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P2860
Identifying disease-specific genes based on their topological significance in protein networks.
description
2009 nî lūn-bûn
@nan
2009 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի մարտին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Identifying disease-specific g ...... nificance in protein networks.
@ast
Identifying disease-specific g ...... nificance in protein networks.
@en
type
label
Identifying disease-specific g ...... nificance in protein networks.
@ast
Identifying disease-specific g ...... nificance in protein networks.
@en
prefLabel
Identifying disease-specific g ...... nificance in protein networks.
@ast
Identifying disease-specific g ...... nificance in protein networks.
@en
P2093
P2860
P356
P1433
P1476
Identifying disease-specific g ...... nificance in protein networks.
@en
P2093
Andrej Bugrim
Craig Webb
David Cherba
Jeremy Miller
Tatiana Nikolskaya
Yuri Nikolsky
Zoltán Dezso
P2860
P2888
P356
10.1186/1752-0509-3-36
P577
2009-03-23T00:00:00Z
P5875
P6179
1038131994