DocumentCode
1987491
Title
Estimating recombination rate distribution by optimal quantization
Author
Song, Mingzhou ; Boissinot, Stephane ; Haralick, Robert M. ; Phillips, Ihsin T.
Author_Institution
Dept. of Comput. Sci., Queens Coll., Flushing, NY, USA
fYear
2003
fDate
11-14 Aug. 2003
Firstpage
403
Lastpage
406
Abstract
We obtain recombination rate distribution functions for all human chromosomes using an optimal quantization method. This nonparametric method allows us to control over-/under-fitting. The piece-wise constant recombination rate distribution functions are convenient to store and retrieve. Our experimental results showed more abrupt distribution functions than two recently published results. In the previous results, the over-/under-fitting issues were not addressed explicitly. Our estimation had greater log likelihood over a previous result using Parzen window. It suggests that the optimal quantization technique might be of great advantage for estimation of other genomic feature distributions.
Keywords
cellular biophysics; genetics; maximum likelihood estimation; piecewise constant techniques; quantisation (signal); statistical distributions; Parzen window; estimation; genomic feature distributions; human chromosomes; nonparametric method; optimal quantization; over-fitting; piece-wise constant; recombination rate distribution; under-fitting; Bioinformatics; Biological cells; Biology; Computer science; Distribution functions; Educational institutions; Evolution (biology); Genomics; Humans; Quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics Conference, 2003. CSB 2003. Proceedings of the 2003 IEEE
Print_ISBN
0-7695-2000-6
Type
conf
DOI
10.1109/CSB.2003.1227346
Filename
1227346
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