On the evaluation of the fidelity of supervised classifiers in the prediction of chimeric RNAs
On the evaluation of the fidelity of supervised classifiers in the prediction of chimeric RNAs
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Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
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...
Alternative Titles
Full title
On the evaluation of the fidelity of supervised classifiers in the prediction of chimeric RNAs
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5090896
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5090896
Other Identifiers
ISSN
1756-0381
E-ISSN
1756-0381
DOI
10.1186/s13040-016-0112-6
