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...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Phasit Charoenkwan, Watshara Shoombuatong, Hua Chin Lee, Jeerayut Chaijaruwanich, Hui Ling Huang, Shinn Ying Ho
التنسيق:	دورية
منشور في:	2018
الموضوعات:	Agricultural and Biological Sciences Biochemistry, Genetics and Molecular Biology Medicine
الوصول للمادة أونلاين:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84883364817&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/52075
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
المؤسسة:	Chiang Mai University

مواد مشابهة

SCMCRYS: Predicting Protein Crystallization Using an Ensemble Scoring Card Method with Estimating Propensity Scores of P-Collocated Amino Acid Pairs
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منشور في: (2018)

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Predicting protein crystallization using a simple scoring card method
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A PROPENSITY SCORE MATCHING APPROACH: EFFECT OF COMPLETING A MINOR ON EARNINGS.
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iTTCA-Hybrid: Improved and robust identification of tumor T cell antigens by utilizing hybrid feature representation
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iTTCA-Hybrid: Improved and robust identification of tumor T cell antigens by utilizing hybrid feature representation
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Nonignorable missing data, single index propensity score and profile synthetic distribution function
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LARGE-SCALE COMPARATIVE REVIEW AND ASSESSMENT OF COMPUTATIONAL METHODS FOR PHAGE VIRION PROTEINS IDENTIFICATION
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