Identification of protein coding regions in the human genome by quadratic discriminant analysis.
A new method for predicting internal coding exons in genomic DNA sequences has been developed. This method is based on a prediction algorithm that uses the quadratic discriminant function for multivariate statistical pattern recognition. Substantial improvements have been made (with only 9 discriminant variables) when compared with existing methods: HEXON [Solovyev, V. V., Salamov, A. A. & Lawrence, C. B. (1994) Nucleic Acids Res. 22, 5156-5163] (based on linear discriminant analysis) and GRAIL2 [Uberbacher, E. C. & Mural, R. J. (1991) Proc. Natl. Acad. Sci. USA 88, 11261-11265] (based on neural networks). A computer program called MZEF is freely available to the genome community and allows users to adjust prior probability and to output alternative overlapping exons.
Zhang
M Q
MQ
Cold Spring Harbor Laboratory, NY 11724, USA.
D001483:Base Sequence; D005091:Exons; D005796:Genes; D016045:Human Genome Project; D006801:Humans; D008969:Molecular Sequence Data; D015999:Multivariate Analysis; D011506:Proteins / Q000235:genetics; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software
D011506:Proteins