Source code and data for "Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery"
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Updated
Jul 3, 2024 - Jupyter Notebook
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
Fall 2022 Bioengineering 298 Final Project: using protein networks to understand drug and disease mechanisms
Multilabel classification using pytorch neuralnetwork, optimized hyperparameter using optuna.
PK/PD framework to assess the pharmacological properties of Islatravir (ISL)
Physiological modeling into the metaverse of Mycobacterium tuberculosis beta CA inhibition mechanism
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