Keras Genomics Data Generators
Project description
# Isolearn
Automated loading and processing of genomics data for use in deep learning models (Keras). Implements Keras data generators for loading and encoding Pandas dataframes and RNA-Seq count matrices into numerical tensors.
## Example Notebooks (Alternative Splicing) [Notebook 1a: Logistic Regression of Sequence Hexamer Counts](https://nbviewer.jupyter.org/github/johli/isolearn/blob/master/example/splicing_hexamer_regression.ipynb)<br/> [Notebook 1b: Logistic Regression of Sequence Hexamer Counts (Multiple Cell Types)](https://nbviewer.jupyter.org/github/johli/isolearn/blob/master/example/splicing_hexamer_regression_multicell.ipynb)<br/> [Notebook 2a: (Keras) Sequence-Convolutional Neural Network](https://nbviewer.jupyter.org/github/johli/isolearn/blob/master/example/splicing_cnn_multicell.ipynb)<br/> [Notebook 2b: (Keras) Sequence-Convolutional Neural Network (Sampled Splice Junctions)](https://nbviewer.jupyter.org/github/johli/isolearn/blob/master/example/splicing_cnn_perturbed_multicell.ipynb)<br/>
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