3 citations · 3 across the 4 of their papers we have counts for
3 papers · 1 filter
Biologically Informed Deep Neural Networks for Multi-Omic Integration, Pathway Activity Inference and Risk Stratification in Cancer
Pedro Henrique da Costa Avelar, Le Ou-Yang, Min Wu +1
Integrating complex, multi-omics data presents significant challenges. Existing approaches often face a trade-off between model interpretability and representational capacity, with…
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…