support vector machine

Microaneurysm Detection Using Principal Component Analysis and Machine Learning Methods
Author(s)3: Wen Cao, Nicholas Czarnek, Juan Shan, Lin Li
Microaneurysm Detection Using Principal Component Analysis and Machine Learning Methods 215 259 Transactions on NanoBioscience (TNB)

Diabetic retinopathy (DR) is an eye abnormality caused by long-term diabetes and it is the most common cause of blindness before the age of 50. Microaneurysms (MAs), resulting from leakage…

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TargetM6A: Identifying N6-Methyladenosine Sites From RNA Sequences via Position-Specific Nucleotide Propensities and a Support Vector Machine
Author(s)3: Guang-Qing Li, Zi Liu, Hong-Bin Shen, Dong-Jun Yu
TargetM6A: Identifying N6-Methyladenosine Sites From RNA Sequences via Position-Specific Nucleotide Propensities and a Support Vector Machine 215 220 Transactions on NanoBioscience (TNB)

As one of the most ubiquitous post-transcriptional modifications of RNA, N6-methyladenosine ( m 6 A  ) plays an essential role in many vital biological processes. The identification of m 6 A  sites in RNAs…

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Identification of DNA-Binding Proteins by Combining Auto-Cross Covariance Transformation and Ensemble Learning
Author(s)3: Bin Liu, Shanyi Wang, Qiwen Dong, Shumin Li, Xuan Liu
Identification of DNA-Binding Proteins by Combining Auto-Cross Covariance Transformation and Ensemble Learning 556 235 Transactions on NanoBioscience (TNB)

DNA-binding proteins play a pivotal role in various intra- and extra-cellular activities ranging from DNA replication to gene expression control. With the rapid development of next generation of sequencing technique,…

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