Saman Farahmand

This paper presents a CNN that predicts HER2 status and trastuzumab response from H&E images with higher accuracy than IHC.

This paper uses CNNs to classify and compare histopathological images across cancer types, revealing conserved spatial patterns and mutation-related features.

ModEx extracts mode of regulation (activation/repression) for TF-gene interactions from ChIP-Seq data using text mining and achieves high F-scores on curated datasets.

The paper introduces CIE, a platform for causal inference of active transcriptional regulators using differential gene expression data and a regularized Gaussian Graphical Model.