This poject aims to use a regression deep learning model to predict value of a matrix representing gene expression values based on matrix factorization.
Tuned_alastor_test.ipynb : Notebook to run regression model.
models.py: deep learning model architectures.
functions.py : set of fuinctions for data pre-processing/graph plotting.
Neural_Motif_Discovery_14.ipynb: We apply AI explanability to discover relevant motifs in the genome sequences based on the trained model.