PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein–Protein Interactions from Protein Sequences

标题
PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein–Protein Interactions from Protein Sequences
作者
关键词
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出版物
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
Volume 18, Issue 5, Pages 1029
出版商
MDPI AG
发表日期
2017-05-11
DOI
10.3390/ijms18051029

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