A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
- protein
- protein-sequences
- protein-design
- representation-learning
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PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
AuShadha (औषध): Means medicine in Sanskrit. This is a Electronic Medical Records (EMR) and Public Health Management for small clinics written in Django and Dojo
SplineDist: Automated Cell Segmentation with Spline Curves
Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.