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This is a proficiently constructed Deep Learning model designed for predicting the likelihood of De Novo occurrences in promoter regions.

www.linkedin.com/in/truong-nguyen-0925634a/

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Name		Name	Last commit message	Last commit date
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Deep_Learning_De_novo_Transcription.py		Deep_Learning_De_novo_Transcription.py
README.md		README.md
de_novo_promoters_testdata.csv		de_novo_promoters_testdata.csv
de_novo_promoters_traindata.csv		de_novo_promoters_traindata.csv

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Deep_Learning_Predicting_De_novo_Promoters-TSS-EBV

1. Introduction

This is a proficiently constructed Deep Learning model designed for predicting the likelihood of De Novo occurrences in promoter regions.

2. Deployments

Step 1: Run the pipeline on the training dataset

Step 2: Validate on the testing dataset

Note:The last column in the data frame is the Dependent/Label feature!

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This is a proficiently constructed Deep Learning model designed for predicting the likelihood of De Novo occurrences in promoter regions.

www.linkedin.com/in/truong-nguyen-0925634a/

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