Abstract · INTRODUCTION · MATERIALS AND METHODS

In this study, we describe a new approach called positive sample only learning (PSoL) to predict ncRNA genes in the Escherichia coli genome.

In this study, we describe a new approach called positive sample only learning (PSoL) to predict ncRNA genes in the Escherichia coli genome.

The PSoL method is assessed by 5-fold cross-validation experiments which show that PSoL can achieve about 80% accuracy in recovery of known ncRNAs. We compared ...

In this study, we describe a new approach called positive sample only learning (PSoL) to predict ncRNA genes in the Escherichia coli genome. Although PSoL is a ...

A new approach called positive sample only learning (PSoL) to predict ncRNA genes in the Escherichia coli genome is described, which shows that PSoL can ...

RNA genes lack most of the signals used for protein gene identification. A major shortcoming of previous discrimina- tive methods to distinguish functional ...

“PSoL: A Positive Sample Only Learning Algorithm for Finding Non-coding. RNA Genes”, by C. Wang, C. Ding, R. Meraz, S. Holbrook. Contains: • Table 1: Known ...

Dec 3, 2016 · Wang et al. [16] developed a positive sample only learning algorithm to identify ncRNA. Due to a lack of appropriate negative training samples ...

To address this problem we developed the "positive sample only learning" (PSOL) method. This method can identify the most likely negative examples from an ...