Name
Abstract | ||
|---|---|---|
We obtain recombination rate distribution functions forall human chromosomes using an optimal quantizationmethod. This non-parametric method allows us to controlover-/under-fitting. The piece-wise constant recombinationrate distribution functions are convenient to store and retrieve.Our experimental results showed more abrupt distributionfunctions than two recently published results. Inthe previous results, the over-/under-fitting issues were notaddressed explicitly. Our estimation had greater log likelihoodover a previous result using Parzen window. It suggeststhat the optimal quantization technique might be ofgreat advantage for estimation of other genomic feature distributions. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/CSB.2003.1227346 | CSB |
Keywords | Field | DocType |
estimating recombination rate distribution,genomic feature distribution,recombination rate distribution function,optimal quantizationmethod,under-fitting issue,piece-wise constant recombinationrate distribution,optimal quantization technique,inthe previous result,parzen window,abrupt distributionfunctions,optimal quantization,previous result,human genome,distribution function,genetics,statistical distributions,high resolution,maximum likelihood estimation | Cellular biophysics,Recombination rate,Maximum likelihood,Nonparametric statistics,Probability distribution,Artificial intelligence,Quantization (signal processing),Distribution function,Mathematics,Machine learning,Kernel density estimation | Conference |
ISBN | Citations | PageRank |
0-7695-2000-6 | 0 | 0.34 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mingzhou Song | 1 | 5 | 7.42 |
| Stephane Boissinot | 2 | 0 | 1.01 |
| Robert M. Haralick | 3 | 10262 | 2605.93 |
| Ihsin T. Phillips | 4 | 355 | 37.57 |