文献类型：期刊文献

英文题名：A New Method for Feature Extraction and Classification of Single-Stranded DNA Based on Collaborative Filter

作者：Yan, Bingyong[1];Cui, Haixu[1];Fu, Haitao[2];Zhou, Jiale[1,3,4];Wang, Huifeng[1]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Beijing Inst Technol, Sch Elect Informat Engn, Beijing 100081, Peoples R China;[3]East China Univ Sci & Technol, Key Lab Adv Mat, Shanghai 200237, Peoples R China;[4]East China Univ Sci & Technol, Dept Chem, Shanghai 200237, Peoples R China

年份：2020

卷号：2020

外文期刊名：MATHEMATICAL PROBLEMS IN ENGINEERING

收录：;EI(收录号：20203309052417);WOS:【SCI-EXPANDED(收录号:WOS:000559311100004)】；

基金：This work was supported by the National Major Scientific Research Instrument Development Project (no. 21327807), National Natural Science Youth Fund (no. 51407078), and National Natural Science Foundation of China (no. 61773165).

语种：英文

外文关键词：Bioinformatics - Feature extraction - Support vector machines - Collaborative filtering - Extraction - Classification (of information)

摘要：The traditional support vector machine algorithm is not enough to classify single-stranded DNA molecules, so this paper proposes an improved threshold extraction algorithm based on collaborative filter for the classification of single-stranded DNA. Firstly, according to the different characteristic curves of the blocking current signals formed by the four bases (A,T,C, andT) that make up DNA molecules crossing the nanopore, the collaborative filter feature extraction algorithm with improved threshold is proposed. Then, the feature information is reconstructed and sent to the SVM classifier for training. Finally, the unfiltered, collaborative filter, improved threshold collaborative filter, and Bessel filter data are, respectively, extracted and sent to the SVM classifier for classification and comparison research. The experimental results show that the improved collaborative filter algorithm has higher accuracy in single-stranded DNA molecular classification.