five

Pandikannan K PhD Thesis

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NIAID Data Ecosystem2026-05-01 收录
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https://figshare.com/articles/dataset/Pandikannan_K_PhD_Thesis/24843780
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资源简介:
Supplementary File_1 : Significant genes of SARS-CoV at each time point after meta-analysis. Supplementary File_2 : Significant genes of MERS-CoV at each time point after meta-analysis. Supplementary File_3 : GSEA KEGG analysis results for SARS-CoV-2 positive patients compared with the healthy patient samples. Supplementary File_4 : List of the differentially expressed genes between the healthy and SAR-CoV-2 infected groups in individual datasets before proceeding to meta-analysis. Supplementary File_5 : List of significant genes identified through Fisher’s method of meta-analysis and the robust genes identified through the meta-analysis approach. Supplementary File_6 : The highly discriminatory features that can separate between NVARI, ORVARI and SC2ARI are sorted based on their RReliefF score that explains the potential of the feature to classify efficiently. Supplementary File_7 : The highly discriminatory features that can separate between Non-severe and Severe COVID-19 patients are sorted based on their RReliefF score that explains the potential of the feature to classify efficiently. Supplementary File_8 : Viral reads aligned to each sample in the three Asian Gastric cancer datasets. Supplementary File_9 : Genes dysregulated significantly in each dataset and the robust genes identified through rank-based meta-analysis
创建时间:
2023-12-17
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