PCA-HPR: A principle component analysis model for human promoter recognition

We describe a promoter recognition method named PCA-HPR to locate eukaryotic promoter regions and predict transcription start sites (TSSs). We computed codon (3-mer) and pentamer (5-mer) frequencies and created codon and pentamer frequency feature matrices to extract informative and discriminative f...

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Detalles Bibliográficos
Autores principales: Li, Xiaomeng, Zeng, Jia, Yan, Hong
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2008
Materias:
Prediction Model
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2533055/
https://www.ncbi.nlm.nih.gov/pubmed/18795109

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2533055/
https://www.ncbi.nlm.nih.gov/pubmed/18795109

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