3 papers
q-bio.QM2025
Emerging AI Approaches for Cancer Spatial Omics
Javad Noorbakhsh, Ali Foroughi pour, Jeffrey Chuang
Technological breakthroughs in spatial omics and artificial intelligence (AI) have the potential to transform the understanding of cancer cells and the tumor microenvironment. Here…
stat.ML2020
On the Consistency of Optimal Bayesian Feature Selection in the Presence of Correlations
Ali Foroughi pour, Lori A. Dalton
Optimal Bayesian feature selection (OBFS) is a multivariate supervised screening method designed from the ground up for biomarker discovery. In this work, we prove that Gaussian OB…
stat.ML2019
Theory of Optimal Bayesian Feature Filtering
Ali Foroughi pour, Lori A. Dalton
Optimal Bayesian feature filtering (OBF) is a supervised screening method designed for biomarker discovery. In this article, we prove two major theoretical properties of OBF. First…