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Found 2 papers, 2 papers with code
Multiple Augmented Reduced Rank Regression for Pan-Cancer Analysis
To address variation architectures correctly and comprehensively for high-dimensional data across multiple sample sets (i. e., cohorts), we propose multiple augmented reduced rank regression (maRRR), a flexible matrix regression and factorization method to concurrently learn both covariate-driven and auxiliary structured variation.
Deep IDA: A Deep Learning Method for Integrative Discriminant Analysis of Multi-View Data with Feature Ranking -- An Application to COVID-19 severity
COVID-19 severity is due to complications from SARS-Cov-2 but the clinical course of the infection varies for individuals, emphasizing the need to better understand the disease at the molecular level.
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