Review and Comparative Analysis of Machine Learning-based Predictors for Predicting and Analyzing Anti-angiogenic Peptides.

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第一作者： Phasit,Charoenkwan

第一单位： Modern Management and Information Technology, College of Arts, Media and Technology, Chiang Mai University, Chiang Mai, 50200, Thailand.

作者： Phasit,Charoenkwan ^[1] ; Wararat,Chiangjong ^[2] ; Md Mehedi,Hasan ^[3] ; Chanin,Nantasenamat ^[4] ; Watshara,Shoombuatong ^[4]

作者单位： Modern Management and Information Technology, College of Arts, Media and Technology, Chiang Mai University, Chiang Mai, 50200, Thailand. ^[1] Pediatric Translational Research Unit, Department of Pediatrics, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand. ^[2] Tulane Center for Biomedical Informatics and Genomics, Division of Biomedical Informatics and Genomics, John W. Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA. ^[3] Center of Data Mining and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok, 10700, Thailand. ^[4]

关键词 Anti-angiogenic peptides classification feature representation feature selection machine learning therapeutic peptides

主题词算法(Algorithms);血管生成蛋白质类(Angiogenic Proteins);人类(Humans);肿瘤(Neoplasms);肽类(Peptides)

DOI 10.2174/0929867328666210810145806

PMID 34375178

发布时间 2022-03-02

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