Source code and data for "Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery"

Elucidate and visualise a compound's mechanism of action by combining structure-based target prediction with gene expression-based causal reasoning, plus pathway enrichment to put results into biological context. GUI-based (minimal coding experience required).

Application of the Simple Sum method for testing co-localization of GWAS with any other SNP-level data (e.g. eQTL data)

Software to classify biological phenotypes from single-cell image-based morphology profiles

PK/PD framework to assess the pharmacological properties of Islatravir (ISL)

Fall 2022 Bioengineering 298 Final Project: using protein networks to understand drug and disease mechanisms

Multilabel classification using pytorch neuralnetwork, optimized hyperparameter using optuna.

Physiological modeling into the metaverse of Mycobacterium tuberculosis beta CA inhibition mechanism

An interpretable, modular deep-learning pipeline for cancer drug-response prediction that fuses a Gene-Ontology visible neural network with a graph-based drug encoder — combining the best of DrugCell, SparseGO, DRPreter, DrugVNN, and PASO.