Expression-based network biology identifies alteration in key regulatory pathways of type 2 diabetes and associated risk/complications
about
Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewThe emerging paradigm of network medicine in the study of human diseaseA comprehensive molecular interaction map for rheumatoid arthritis.Proteins encoded in genomic regions associated with immune-mediated disease physically interact and suggest underlying biology.L1 cell adhesion molecule expression is associated with pelvic lymph node metastasis and advanced stage in diabetic patients with endometrial cancer: a matched case control studyComplex disease interventions from a network model for type 2 diabetesA Drug-Target Network-Based Approach to Evaluate the Efficacy of Medicinal Plants for Type II Diabetes MellitusDiscovering study-specific gene regulatory networks.Multi-Target Analysis and Design of Mitochondrial Metabolism.A systematic analysis of human lipocalin family and its expression in esophageal carcinoma.DNA methylation profiling identifies epigenetic dysregulation in pancreatic islets from type 2 diabetic patients.Network biology approach for identifying key regulatory genes by expression based study of breast cancer.Systems Biology Approaches and Applications in Obesity, Diabetes, and Cardiovascular Diseases.TGF-β/SMAD Pathway and Its Regulation in Hepatic Fibrosis.Familial young-onset diabetes, pre-diabetes and cardiovascular disease are associated with genetic variants of DACH1 in Chinese.T2DiACoD: A Gene Atlas of Type 2 Diabetes Mellitus Associated Complex Disorders.Molecular disease presentation in diabetic nephropathy.Coexpression Analysis Reveals Key Gene Modules and Pathway of Human Coronary Heart Disease.Comparative genomic analysis of novel Acinetobacter symbionts: A combined systems biology and genomics approachUnderstanding Genetic Heterogeneity in Type 2 Diabetes by Delineating Physiological Phenotypes: SIRT1 and its Gene Network in Impaired Insulin Secretion.Nodes with high centrality in protein interaction networks are responsible for driving signaling pathways in diabetic nephropathy.Node interference and robustness: performing virtual knock-out experiments on biological networks: the case of leukocyte integrin activation network.Mapping of molecular pathways, biomarkers and drug targets for diabetic nephropathy.A design automation framework for computational bioenergetics in biological networks.
P2860
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P2860
Expression-based network biology identifies alteration in key regulatory pathways of type 2 diabetes and associated risk/complications
description
2009 nî lūn-bûn
@nan
2009 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի դեկտեմբերին 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
Expression-based network biolo ...... associated risk/complications
@ast
Expression-based network biolo ...... associated risk/complications
@en
Expression-based network biolo ...... associated risk/complications
@nl
type
label
Expression-based network biolo ...... associated risk/complications
@ast
Expression-based network biolo ...... associated risk/complications
@en
Expression-based network biolo ...... associated risk/complications
@nl
prefLabel
Expression-based network biolo ...... associated risk/complications
@ast
Expression-based network biolo ...... associated risk/complications
@en
Expression-based network biolo ...... associated risk/complications
@nl
P2093
P2860
P3181
P1433
P1476
Expression-based network biolo ...... associated risk/complications
@en
P2093
Nevenka Dimitrova
Sanchaita Ukil
Shipra Agrawal
Urmi Sengupta
P2860
P3181
P356
10.1371/JOURNAL.PONE.0008100
P407
P577
2009-12-07T00:00:00Z