Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection technique

Author:

Dao Fu-Ying1,Lv Hao1,Wang Fang1,Feng Chao-Qin1,Ding Hui1,Chen Wei12,Lin Hao1

Affiliation:

1. Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China

2. Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China

Funder

National Nature Scientific Foundation of China

Natural Science Foundation for Distinguished Young Scholar of Hebei Province

Fundamental Research Funds for the Central Universities of China

Science Strength Promotion Program of UESTC

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference82 articles.

1. ProLanGO: protein function prediction using neural machine translation based on a recurrent neural network;Cao;Molecules,2017

2. QAcon: single model quality assessment using protein structural and contact information with machine learning techniques;Cao;Bioinformatics,2017

3. DeepQA: improving the estimation of single protein model quality with deep belief networks;Cao;BMC Bioinformatics,2016

4. LIBSVM: A library for support vector machines;Chang;ACM Trans. Intell. Syst. Technol.,2011

5. Prediction of replication origins by calculating DNA structural properties;Chen;FEBS Lett.,2012

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