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Stochastic Sequence Propagation - A Keras Model for optimizing DNA, RNA and protein sequences based on a predictor

Language:Python40 3 5

APA Regression Net - Predict and Engineer Alternative Polyadenylation

Language:Jupyter NotebookMIT35 3 10

Interpretation by Deep Generative Masking for Biological Sequences

Language:Jupyter NotebookMIT34 2 4

Deep Exploration Networks - Diverse Deep Generative Models for DNA, RNA and Protein Sequences

Language:Jupyter NotebookMIT24 4 2

Language:Jupyter NotebookMIT900

Automated loading and processing of genomics data for Deep Learning

Language:PythonMIT600

Splicing Regression Net - Predict Cell type-specific Splicing Proportions

Language:Jupyter NotebookMIT200

A multi-task neural network for predicting perturbation responses to Alternative Polyadenylation usage levels

Language:Jupyter NotebookMIT100

APA Regression Net (Legacy code)

Language:Python000

Machine learning methods for DNA sequence analysis.

Language:PythonApache-2.0000

KL-bounded activation-maximizing generative neural networks for biological sequence design

Language:Jupyter Notebook000