Adapting machine-learning algorithms to design gene circuits.

Published in: BMC bioinformatics (2019)

Our computational pipeline will facilitate the systematic study of natural circuits in a range of contexts, and allow the automatic design of circuits for synthetic biology. Our method can be readily applied to biological networks of any type and size, and is provided as an open-source and easy-to-use python module, GeneNet.

Keyphrases

machine learning
deep learning
artificial intelligence
big data
genome wide
copy number
gene expression
dna methylation
data analysis