Support vector machines

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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