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HarshitGupta11 9ee90931af
Added New Features 
New Data Feature and Command Line Variable For Testing
2019-06-02 17:06:25 +05:30
create_synteny_matrix.py Added New Features 2019-06-02 17:06:25 +05:30
create_train_data.py Added New Features 2019-06-02 17:06:25 +05:30
ftpg.py Added New Features 2019-06-02 17:06:25 +05:30
get_data.py Added New Features 2019-06-02 17:06:25 +05:30
main.py Added New Features 2019-06-02 17:06:25 +05:30
model.py Added New Features 2019-06-02 17:06:25 +05:30
my.txt Add files via upload 2019-05-11 23:52:42 +05:30
prepare_data.py Added New Features 2019-06-02 17:06:25 +05:30
prepare_train_data.py Added New Features 2019-06-02 17:06:25 +05:30
process_data.py Added New Features 2019-06-02 17:06:25 +05:30
read_data.py Added New Features 2019-06-02 17:06:25 +05:30
read_get_gene_seq.py Added New Features 2019-06-02 17:06:25 +05:30
README.md Update README.md 2019-05-08 12:13:40 +01:00
req_data.py Added New Features 2019-06-02 17:06:25 +05:30
save_data.py Added New Features 2019-06-02 17:06:25 +05:30
species_tree.tree Added New Features 2019-06-02 17:06:25 +05:30
test_main.py Added New Features 2019-06-02 17:06:25 +05:30
train.py Added New Features 2019-06-02 17:06:25 +05:30
tree_data.py Added New Features 2019-06-02 17:06:25 +05:30

README.md

compara-deep-learning

Using Deep Learning techniques to enhance orthology calls

This project aims to apply machine learning algorithms like Deep Learning Neural Networks to validate the homologies predicted with our method in addition to infer new ones based on other properties of the data that are currently not being considered (such as local synteny, divergence rates, etc).