Article

Application of High-Dimensional Statistics and Network based Visualization techniques on Arab Diabetes and Obesity data

2017-06-18

Abstract excerpt

<h4>Background</h4> Obesity and its co-morbidities are characterized by a chronic low-grade inflammatory state, uncontrolled expression of metabolic measurements and dis-regulation of various forms of stress response. However, the contribution and correlation of inflammation, metabolism and stress responses to the disease are not fully elucidated. In this paper a cross-sectional case study was conducted on clinic...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 548e72d7-9d17-5fae-ab92-373b72d6c889
DOI: 10.1101/151621

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Application of High-Dimensional Statistics and Network based Visualization techniques on Arab Diabetes and Obesity dataDOI 10.1101/151621Read

Unveiling molecular signatures of preeclampsia and gestational diabetes mellitus with multi-omics and innovative cheminformatics visualization toolsSemantic proximity Read

Differential network analysis between sex of thegenes related to comorbidities of type 2 mellitusdiabetes.Semantic proximity Read

Investigating HMGB1 as a Potential Biomarker in Clinical Type-2 <em>Diabetes mellitus</em> – Induced Endothelial Deregulation: Systematic Review and Meta-AnalysisSemantic proximity Read

Multipartite network analysis to identify environmental and genetic associations of metabolic syndrome in the Korean population.Semantic proximity Read

Identification of Insulin Resistance-Related Genes Using Biomedical Knowledge Graphs Topology and EmbeddingsSemantic proximity Read

A network-based approach to identify deregulated pathways and drug effects in metabolic syndromeSemantic proximity Read

Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis.Semantic proximity Read

Joint Temporal Patterns By Integrating Diet and Physical ActivitySemantic proximity Read

Intrinsic disorder in biomarkers of insulin resistance, hypoadiponectinemia, and endothelial dysfunction among the type 2 diabetic patientsSemantic proximity Read

Visualization and identification of health space, based on personalized molecular phenotype and treatment response to relevant underlying biological processes.Semantic proximity Read

A correlation-based network for biomarker discovery in obesity with metabolic syndromeSemantic proximity Read

Integrated Analysis of Tissue-specific Gene Expression in Diabetes by Tensor Decomposition Can Identify Possible Associated DiseasesSemantic proximity Read