SVM-Prot 2016: A Web-Server for Machine Learning Prediction of Protein Functional Families from Sequence Irrespective of Similarity

SVM-Prot 2016: A Web-Server for Machine Learning Prediction of Protein Functional Families from Sequence Irrespective of Similarity

Knowledge of protein function is important for biological, medical and therapeutic studies, but many proteins are still unknown in function. There is a need for more improved functional prediction methods. Our SVM-Prot web-server employed a machine learning method for predicting protein functional f...

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Bibliographic Details
Main Authors: Li, Ying Hong, Xu, Jing Yu, Tao, Lin, Li, Xiao Feng, Li, Shuang, Zeng, Xian, Chen, Shang Ying, Zhang, Peng, Qin, Chu, Zhang, Cheng, Chen, Zhe, Zhu, Feng, Chen, Yu Zong
Format: Online
Language:English
Published: Public Library of Science 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4985167/

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4985167/

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