3 citations · 3 across the 3 of their papers we have counts for
3 papers
Subset-Contrastive Multi-Omics Network Embedding
Pedro Henrique da Costa Avelar, Min Wu, Sophia Tsoka
Motivation: Network-based analyses of omics data are widely used, and while many of these methods have been adapted to single-cell scenarios, they often remain memory- and space-in…
Incorporating Prior Knowledge in Deep Learning Models via Pathway Activity Autoencoders
Pedro Henrique da Costa Avelar, Min Wu, Sophia Tsoka
Motivation: Despite advances in the computational analysis of high-throughput molecular profiling assays (e.g. transcriptomics), a dichotomy exists between methods that are simple…
Multi-Omic Data Integration and Feature Selection for Survival-based Patient Stratification via Supervised Concrete Autoencoders
Pedro Henrique da Costa Avelar, Roman Laddach, Sophia Karagiannis +2
Cancer is a complex disease with significant social and economic impact. Advancements in high-throughput molecular assays and the reduced cost for performing high-quality multi-omi…