The Performance Comparison of Gene Co-expression Networks of Breast and Prostate Cancer using Different Selection Criteria

Gene co-expression networks (GCN) present undirected relations between genes to understand molecular structures behind the diseases, including cancer. The utilization of various biological datasets and gene network inference (GNI) algorithms can reveal meaningful gene–gene interactions of GCNs. This...

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Veröffentlicht in:	Interdisciplinary sciences : computational life sciences Jg. 13; H. 3; S. 500 - 510
Hauptverfasser:	Cingiz, Mustafa Özgür, Biricik, Göksel, Diri, Banu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Singapore 01.09.2021 Springer Nature B.V
Schlagworte:	Algorithms Biological analysis Biological effects Biomedical and Life Sciences Breast cancer Computational Biology/Bioinformatics Computational Science and Engineering Computer Appl. in Life Sciences Criteria Datasets DNA microarrays Gene expression Genes Health Sciences Life Sciences Mathematical and Computational Physics Medicine miRNA Molecular structure Original Research Article Performance evaluation Prostate Prostate cancer Ribonucleic acid RNA Statistics for Life Sciences Theoretical Theoretical and Computational Chemistry Topology Biological assessment of GCNs Topological analysis of GCNs Gene co-expression networks Gene co-expression network inference algorithms Literature data-based overlap analysis
ISSN:	1913-2751, 1867-1462, 1867-1462
Online-Zugang:	Volltext
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