Identification of Co-Deregulated Genes in Urinary Bladder Cancer Using High-Throughput Methodologies

Although several genes are known to be deregulated in urinary bladder cancer (UBC), the list of candidate prognostic markers has expanded due to the advance of high-throughput methodologies, but they do not always accord from study to study. We aimed to detect global gene co-expressional profiles am...

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Veröffentlicht in:	Applied sciences Jg. 11; H. 4; S. 1785
Hauptverfasser:	Lambrou, George I., Vichos, Kleanthis, Koutsouris, Dimitrios, Zaravinos, Apostolos
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.02.2021
Schlagworte:	Algorithms Bladder cancer Cell growth Classification common gene expression Datasets Gene expression Genetic engineering Machine learning microarray Tumors unsupervised machine learning algorithms urinary bladder cancer United States > US
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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