Ehsan Saghapour

Induced ERBB response and standing FAK dependency nominate separable KRAS-combination hypotheses in pancreatic cancer

This paper identifies two separable KRAS-combination partners in pancreatic cancer: an induced ERBB2/3 up-regulation and a standing FAK dependency, both computationally nominated from public data.

MondrianMap: Navigating Gene Set Hierarchies with Multi-Resolution Enrichment Maps

MondrianMap provides multi-resolution visualization of gene set enrichment results, revealing directional oppositions and temporal dynamics across biological processes in cancer, aging, and exercise data.

LlamaAffinity: A Predictive Antibody Antigen Binding Model Integrating Antibody Sequences with Llama3 Backbone Architecture

LlamaAffinity predicts antibody-antigen binding affinity using a Llama 3 backbone and antibody sequences from the OAS database, achieving high accuracy and efficiency.

NeSyDPP4-QSAR: A Neuro-Symbolic AI Approach for Potent DPP-4-Inhibitor Discovery in Diabetes Treatment

This paper develops a neuro-symbolic AI model, NeSyDPP4-QSAR, to predict DPP-4 inhibitor activity, achieving high accuracy in IC50 prediction for drug discovery.

Explorative Discovery of Gene Signatures and Clinotypes in Glioblastoma Cancer Through GeneTerrain Knowledge Map Representation

This paper introduces GTKM, a method for visualizing gene expression data in glioblastoma, showing it identifies gene patterns linked to clinical outcomes and subtypes.

Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach

This study uses a crowdsourcing approach to stratify ALS patients, identifying four distinct clusters with unique predictors and improving outcome prediction.