Identification and analysis of the cleavage site in a signal peptide using SMOTE, dagging, and feature selection methods-Reference-Cited by-同舟云学术

Identification and analysis of the cleavage site in a signal peptide using SMOTE, dagging, and feature selection methods

Published:2018 Issue:1 Volume:14 Page:64-73
ISSN:2515-4184
Container-title:Molecular Omics
language:en
Short-container-title:Mol. Omics

Author:

Wang ShaoPeng¹²³⁴^ORCID,Wang Deling⁵⁶⁷⁸⁹,Li JiaRui¹²³⁴,Huang Tao¹⁰¹¹¹²¹³⁴^ORCID,Cai Yu-Dong¹²³⁴^ORCID

Affiliation:

1. School of Life Sciences

2. Shanghai University

3. Shanghai 200444

4. People's Republic of China

5. Department of Medical Imaging

6. Sun Yat-sen University Cancer Center

7. State Key Laboratory of Oncology in South China

8. Collaborative Innovation Center for Cancer Medicine

9. Guangzhou

10. Institute of Health Sciences

11. Shanghai Institutes for Biological Sciences

12. Chinese Academy of Sciences

13. Shanghai 200031

Abstract

Several machine learning algorithms were adopted to investigate cleavage sites in a signal peptide. An optimal dagging based classifier was constructed and 870 important features were deemed to be important for this classifier.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

Genetics,Molecular Biology,Biochemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2018/MO/C7MO00030H

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