On the evaluation of the fidelity of supervised classifiers in the prediction of chimeric RNAs

@inproceedings{Beaumeunier2016OnTE,
  title={On the evaluation of the fidelity of supervised classifiers in the prediction of chimeric RNAs},
  author={Sacha Beaumeunier and Jerome Audoux and Anthony Boureux and Florence Ruffl{\'e} and Therese Commes and Nicolas Philippe and Ronnie Alves},
  booktitle={BioData Mining},
  year={2016}
}
High-throughput sequencing technology and bioinformatics have identified chimeric RNAs (chRNAs), raising the possibility of chRNAs expressing particularly in diseases can be used as potential biomarkers in both diagnosis and prognosis. The task of discriminating true chRNAs from the false ones poses an interesting Machine Learning (ML) challenge. First of all, the sequencing data may contain false reads due to technical artifacts and during the analysis process, bioinformatics tools may… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 2 times over the past 90 days. VIEW TWEETS
3 Extracted Citations
16 Extracted References
Similar Papers

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 16 references

Similar Papers

Loading similar papers…