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On the evaluation of the fidelity of supervised classifiers in the prediction of chimeric RNAs
BACKGROUND: 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. RESULTS: The task of discriminating true chRNAs from...
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| 出版年: | BioData Min |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5090896/ https://ncbi.nlm.nih.gov/pubmed/27822312 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-016-0112-6 |
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