A package for MD, Docking and Machine learning drug discovery pipeline
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Updated
Aug 30, 2020 - Python
A package for MD, Docking and Machine learning drug discovery pipeline
Build visual machine learning models with multidimensional general line coordinate visualizations by interactive classification and synthetic data generation tools.
Review Classification using NLP
Machine Learning classifier comparison GUI application. Choose 21 classifiers, evaluation data (optional for evaluation of synthetic data), hyperparameters, cross-validation splits, and rng seed; tabulates, and visualizes in Parallel Coordinates: best, worst, average, and standard deviation of Accuracy/F1/Recall.
Framework to build, evaluate, select, and compare ML classification and regression models using high-dimensional biological data and other covariates
Machine learning model trained on 520K social media comments generating probability distribution of emojis based on textual context.
Cancerous Tumor Classifier based on RNA-Seq gene expressions dataset
🚑 Get Instant Result from your Test Reports analyzed over a huge data-set using machine learning classification
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