PCA-HPR: a principle component analysis model for human promoter recognition.
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ABSTRACT:
SUBMITTER: Li X
PROVIDER: S-EPMC2533055 | biostudies-literature | 2008 Jun
REPOSITORIES: biostudies-literature
Publications
PCA-HPR: a principle component analysis model for human promoter recognition.
Li Xiaomeng X Zeng Jia J Yan Hong H
Bioinformation 20080619 9
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 features for effective classification. Principal component analysis (PCA) is applied to the feature matrices and a subset of principal components (PCs) are selected for classification. Our system uses ...[more]
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