GPHMM 1.4
:: DESCRIPTION
GPHMM (Global Parameter Hidden Markov Model) is a novel statistical method dedicated to identify copy number alteration and loss of heterozygosity (LOH) in tumor samples using whole genome SNP arrays.
::DEVELOPER
HI_Lab @ USTC
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Windows/MacOsX/Linux
- Matlab
:: DOWNLOAD
:: MORE INFORMATION
Citation
GPHMM: an integrated hidden Markov model for identification of copy number alteration and loss of heterozygosity in complex tumor samples using whole genome SNP arrays.
Li A, Liu Z, Lezon-Geyda K, Sarkar S, Lannin D, Schulz V, Krop I, Winer E, Harris L, Tuck D.
Nucleic Acids Res. 2011 Jul;39(12):4928-41. doi: 10.1093/nar/gkr014.