Association analysis of transcriptomic and metabolomic variation (|r| > 0.90).
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2021-11-15
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Additional file 13 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance
Additional file 13: Table S12: Calculations and p-values for gene variant associations
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Multi-omics profiling of PcG proteins and related factors in Drosophila cell lines (RNA-Seq)
To understand the combinatorial binding of different PcG proteins and their binding dynamics across cell types, we performed multi-omics profiling in three Drosophila cell lines, including S2, Kc167 a
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MOESM2 of OmicsARules: a R package for integration of multi-omics datasets via association rules mining
Additional file 2: Table S1. General information of three real datasets downloaded from TCGA. Table S2. Top 20 rules identified from BRCA mRNA dataset. Table S3. Top 20 rules identified from BRCA DNA
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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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Integrative Pathway-Based Approach for Genome-Wide Association Studies: Identification of New Pathways for Rheumatoid Arthritis and Type 1 Diabetes
Genome-wide association studies (GWAS) led to the identification of numerous novel loci for a number of complex diseases. Pathway-based approaches using genotypic data provide tangible leads which can
Figshare2016-01-18 更新30
