Significance of association between Moonlight’s gene sets and genes from the...
- plos.figshare.com
xlsUpdated May 7, 2025
Share
Facebook
Twitter
EmailClick to copy linkLink copiedCiteMona Nourbakhsh; Yuanning Zheng; Humaira Noor; Hongjin Chen; Subhayan Akhuli; Matteo Tiberti; Olivier Gevaert; Elena Papaleo (2025). Significance of association between Moonlight’s gene sets and genes from the Cancer Gene Census (CGC) evaluated using Fisher’s exact test in three cancer (sub)types: basal-like breast cancer, lung adenocarcinoma, and thyroid carcinoma. The gene sets from Moonlight were found using Moonlight’s primary layer and Moonlight’s secondary layer through the Gene Methylation Analysis (GMA) functionality. p-values and odds ratios from Fisher’s exact test are includned. [Dataset]. http://doi.org/10.1371/journal.pcbi.1012999.t003xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pcbi.1012999.t003Dataset updatedMay 7, 2025AuthorsMona Nourbakhsh; Yuanning Zheng; Humaira Noor; Hongjin Chen; Subhayan Akhuli; Matteo Tiberti; Olivier Gevaert; Elena PapaleoLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionSignificance of association between Moonlight’s gene sets and genes from the Cancer Gene Census (CGC) evaluated using Fisher’s exact test in three cancer (sub)types: basal-like breast cancer, lung adenocarcinoma, and thyroid carcinoma. The gene sets from Moonlight were found using Moonlight’s primary layer and Moonlight’s secondary layer through the Gene Methylation Analysis (GMA) functionality. p-values and odds ratios from Fisher’s exact test are includned.
- f
MOESM1 of MECoRank: cancer driver genes discovery simultaneously evaluating...
- springernature.figshare.com
xlsUpdated Jun 6, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteYing Hui; Pi-Jing Wei; Junfeng Xia; Yu-Tian Wang; Chun-Hou Zheng (2023). MOESM1 of MECoRank: cancer driver genes discovery simultaneously evaluating the impact of SNVs and differential expression on transcriptional networks [Dataset]. http://doi.org/10.6084/m9.figshare.11480982.v1xlsAvailable download formatsUnique identifierhttps://doi.org/10.6084/m9.figshare.11480982.v1Dataset updatedJun 6, 2023Dataset provided byfigshareAuthorsYing Hui; Pi-Jing Wei; Junfeng Xia; Yu-Tian Wang; Chun-Hou ZhengLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionAdditional file 1: A list of 616 cancer genes from Cancer Gene Census (CGC, 09/26/2016).
Not seeing a result you expected?
Learn how you can add new datasets to our index.
FacebookTwitterEmailSignificance of association between Moonlight’s gene sets and genes from the Cancer Gene Census (CGC) evaluated using Fisher’s exact test in three cancer (sub)types: basal-like breast cancer, lung adenocarcinoma, and thyroid carcinoma. The gene sets from Moonlight were found using Moonlight’s primary layer and Moonlight’s secondary layer through the Gene Methylation Analysis (GMA) functionality. p-values and odds ratios from Fisher’s exact test are includned.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Significance of association between Moonlight’s gene sets and genes from the Cancer Gene Census (CGC) evaluated using Fisher’s exact test in three cancer (sub)types: basal-like breast cancer, lung adenocarcinoma, and thyroid carcinoma. The gene sets from Moonlight were found using Moonlight’s primary layer and Moonlight’s secondary layer through the Gene Methylation Analysis (GMA) functionality. p-values and odds ratios from Fisher’s exact test are includned.