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IRCC-PDx data preprocessing for integrative modelling.
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Perron, Umberto创建时间：
2023-03-30
相关数据集
Additional file 2: of Integration of multiple networks and pathways identifies cancer driver genes in pan-cancer analysis
Shows the results obtained by our method applied to the different networks identifying 1322 genes that are common in at least two networks. (XLSX 23 kb)
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All brain-435 metabolic pathways derived from metabolomics at the ≥ 1.25 linear fold change and separately common to proteomic derived pathways and RNAseq derived pathways.
(XLSX)
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Processed spatial ATAC-RNA-seq MB dataset for INSTINCT
.h5ad files used in INSTINCT: Multi-sample integration of spatial chromatin accessibility sequencing data via stochastic domain translation. link: https://www.nature.com/articles/s41467-025-56535-0
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Supplementary Table 1: Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancer
Supplementary Table 1. Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancerSelection of optimal hidden layer presentation nodes AbstractPurp
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Enriched canonical pathways identified by Ingenuity Pathway Analysis among the genes with both copy number variation and differential expression.
aThe significance level of each canonical pathway was determined by Fisher's exact test in Ingenuity Pathway Analysis. bThe associated gene number represents the number of dysregulated genes involved
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