Abstract
micoRNA (miRNA) is a vital class of non-coding RNA gènes, which participâtes in post-transcriptional gene regulation in eukaryotic cell. Interestingly, some close relationships between miRNA expression levels and several human diseases like cancers have been recently uncovered. Diffkulties of identifying miRNAs via direct experimental method due to their special and temporal expression patterns make the computational prediction methods paramount important. Specially, non-comparative computational methods would have the advantage of recognizing species-specific miRNAs that can be missed by comparative methods. In this paper we present a systematic development of an improved classifier System for non-comparative human miRNA gene recognition using effective machine learning techniques.
| Original language | English |
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| Title of host publication | 8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008 |
| ISBN (Electronic) | 978-1-4244-2845-8 |
| DOIs | |
| Publication status | Published - 2008 |
| Externally published | Yes |
| Event | 8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008 - Athens, Greece Duration: 8 Oct 2008 → 10 Oct 2008 |
Conference
| Conference | 8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008 |
|---|---|
| Country/Territory | Greece |
| City | Athens |
| Period | 8/10/08 → 10/10/08 |
Keywords
- humans
- RNA
- Cancer
- character generation
- diseases
- proteins
- genomics
- bioinformatics
- prediction methods
- laboratories
- molecular biophysics
- cancer
- genetics
- learning (artificial intelligence)
- machine learning
- noncomparative classification method
- human microRNA gene prediction
- post-transcriptional gene regulation
- eukaryotic cell
- cancers
- human miRNA gene recognition
ASJC Scopus subject areas
- Biotechnology
- Bioengineering
