GENI: A web server to identify gene set enrichments in tumor samples
The Cancer Genome Atlas (TCGA) and analogous projects have yielded invaluable tumor-associated genomic data. Despite several web-based platforms designed to enhance accessibility, certain analyses require prior bioinformatic expertise. To address this need, we developed Gene ENrichment Identifier (G...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-01-01
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Series: | Computational and Structural Biotechnology Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037023004105 |