moDel Agnostic Language for Exploration and eXplanation
- machine-learning
- interpretability
- data-science
- xai
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moDel Agnostic Language for Exploration and eXplanation
A Laravel Fractal package for building API responses, giving you the power of Fractal with Laravel's elegancy.
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarity Augmentation"
Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.
GNN-based gene-selection deep learning model for drug response prediction