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
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;
Conference_Titel :
Bioinformatics Conference, 2003. CSB 2003. Proceedings of the 2003 IEEE
Print_ISBN :
0-7695-2000-6
DOI :
10.1109/CSB.2003.1227346