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

• Main Authors: Li, G., Tze-Yun LEONG, Zhang, Louxin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2005
• Subjects: Bioinformatics; Classification; Feature extraction; Mixture Gaussian model; Translation initiation sites; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/3051; https://ink.library.smu.edu.sg/context/sis_research/article/4051/viewcontent/Translation_initiation_sites_prediction_with_mixture_Gaussian_models_in_human_cDNA_sequences.pdf
• Institution: Singapore Management University

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...