Sequence-based prediction of protein protein interaction using a deep-learning algorithm
Abstract Background Protein-protein interactions (PPIs) are critical for many biological processes. It is therefore important to develop accurate high-throughput methods for identifying PPI to better understand protein function, disease occurrence, and therapy design. Though various computational me...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2017-05-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-017-1700-2 |