Protein-prediction-pipeline

Repository for Imperial-MIT IROP project about an open-source machine learning pipeline tuned for predicting short peptides with therapeutic activities

For more information see readme.docx or email Peter Sarvari (sarvari@usc.edu)

Name		Name	Last commit message	Last commit date
Latest commit History 65 Commits
ADENOLIM		ADENOLIM
data		data
examples		examples
pydpi		pydpi
tsne		tsne
An open-source machine learning pipeline tuned for predicting peptides with therapeutic activities final.docx		An open-source machine learning pipeline tuned for predicting peptides with therapeutic activities final.docx
README.md		README.md
config.py		config.py
featurex_pipeline.py		featurex_pipeline.py
featurex_pipeline_aac.py		featurex_pipeline_aac.py
featurex_pipeline_v3.py		featurex_pipeline_v3.py
featurex_pipeline_v3_pseaac_aac.py		featurex_pipeline_v3_pseaac_aac.py
inputoutput.py		inputoutput.py
modelbuilder_pipeline.py		modelbuilder_pipeline.py
protein_prediction_pipeline.py		protein_prediction_pipeline.py
protein_prediction_pipeline_parallel.py		protein_prediction_pipeline_parallel.py
readme.docx		readme.docx
similarity_reduction.py		similarity_reduction.py

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