SCMCRYS: Predicting Protein Crystallization Using an Ensemble Scoring Card Method with Estimating Propensity Scores of P-Collocated Amino Acid Pairs

SCMCRYS: Predicting Protein Crystallization Using an Ensemble Scoring Card Method with Estimating Propensity Scores of P-Collocated Amino Acid Pairs

Existing methods for predicting protein crystallization obtain high accuracy using various types of complemented features and complex ensemble classifiers, such as support vector machine (SVM) and Random Forest classifiers. It is desirable to develop a simple and easily interpretable prediction meth...

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書目詳細資料
Main Authors:	Phasit Charoenkwan, Watshara Shoombuatong, Hua Chin Lee, Jeerayut Chaijaruwanich, Hui Ling Huang, Shinn Ying Ho
格式:	雜誌
出版:	2018
主題:	Agricultural and Biological Sciences Biochemistry, Genetics and Molecular Biology Medicine
在線閱讀:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84883364817&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/52075
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Chiang Mai University

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