Translation initiation sites prediction with mixture Gaussian models in human cDNA sequences

Translation initiation sites (TISs) are important signals in cDNA sequences. Many research efforts have tried to predict TISs in cDNA sequences. In this paper, we propose to use mixture Gaussian models for TIS prediction. Using both local features and some features generated from global measures, th...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2005-08, Vol.17 (8), p.1152-1160
Hauptverfasser:	Li, G., Leong, T.-Y., Zhang, L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological system modeling Biology computing classification DNA Feature extraction Humans Index Terms- Bioinformatics mixture Gaussian model Predictive models Proteins RNA Sequences Statistical analysis translation initiation sites
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