Jun 202013
 

LOHCRP / CRP_LOH v.1

:: DESCRIPTION

 LOHCRP ( or CRP_LOH) is a novel LOH (Loss of heterozygosity) inference and segmentation algorithm based on the conditional random pattern (CRP) model. The new model explicitly considers the distance between two neighboring SNPs, as well as the genotyping error rate and the heterozygous rate. This new method is tested on the simulated and real data of the Affymetrix Human Mapping 500K SNP arrays. The experimental results show that the CRP method outperforms the conventional methods based on the hidden Markov model (HMM).

::DEVELOPER

APORC / Center for Bioinformatics & Systems Biology

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

  LOHCRP / CRP_LOH

:: MORE INFORMATION

Citation

Ling-Yun Wu, Xiaobo Zhou, Fuhai Li, Xiaorong Yang, Chung-Che Chang, Stephen T.C. Wong.
Conditional random pattern algorithm for LOH inference and segmentation.
Bioinformatics, Vol. 25, No. 1, 61-67, 2009.

241 views

Sorry, the comment form is closed at this time.