GSCA: an integrated platform for gene set cancer analysis at genomic, pharmacogenomic and immunogenomic levels

Abstract Cancer initiation and progression are likely caused by the dysregulation of biological pathways. Gene set analysis (GSA) could improve the signal-to-noise ratio and identify potential biological insights on the gene set level. However, platforms exploring cancer multi-omics data using GSA m...

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Veröffentlicht in:	Briefings in bioinformatics Jg. 24; H. 1
Hauptverfasser:	Liu, Chun-Jie, Hu, Fei-Fei, Xie, Gui-Yan, Miao, Ya-Ru, Li, Xin-Wen, Zeng, Yan, Guo, An-Yuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Oxford University Press 19.01.2023 Oxford Publishing Limited (England)
Schlagworte:	1-Phosphatidylinositol 3-kinase Cancer Cell cycle Clinical outcomes Gene expression Genes Genomic analysis Genomics Genomics - methods Humans Immune system Infiltration Metastases Mutation Neoplasms - drug therapy Neoplasms - genetics Oncogenes Pharmacogenetics Pharmacogenomics Phosphatidylinositol 3-Kinases - genetics Sensitivity analysis Signal to noise ratio Tumor suppressor genes Tumors immunogenomics clinical outcomes gene set cancer analysis web server
ISSN:	1467-5463, 1477-4054, 1477-4054
Online-Zugang:	Volltext
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