Benchmark testing

PhosPred-RF: a novel sequence-based predictor for phosphorylation sites using sequential information only

Author(s): Leyi Wei, Pengwei Xing, Jijun Tang, Quan Zou
PhosPred-RF: a novel sequence-based predictor for phosphorylation sites using sequential information only 215 178 Transactions on NanoBioscience (TNB)

Many recent efforts have been made for the development of machine learning based methods for fast and accurate phosphorylation site prediction. Currently, a majority of well-performing methods are based on…

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TargetM6A: Identifying N6-Methyladenosine Sites From RNA Sequences via Position-Specific Nucleotide Propensities and a Support Vector Machine

Author(s): 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): 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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