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Found 3 papers, 2 papers with code
GENER: A Parallel Layer Deep Learning Network To Detect Gene-Gene Interactions From Gene Expression Data
Detecting and discovering new gene interactions based on known gene expressions and gene interaction data presents a significant challenge.
High-dimensional multi-trait GWAS by reverse prediction of genotypes
Multi-trait genome-wide association studies (GWAS) use multi-variate statistical methods to identify associations between genetic variants and multiple correlated traits simultaneously, and have higher statistical power than independent univariate analyses of traits.
Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeast
Causal gene networks model the flow of information within a cell, but reconstructing them from omics data is challenging because correlation does not imply causation.
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