Description Usage Arguments Details Value Author(s) References See Also Examples
Function to run the Viterbi algorithm to find the optimal state path in the TitanCNA hidden Markov model (HMM). The states returned will indicate the optimal copy number and LOH state as well as the most likely clonal cluster for each data point. After running EM, use the converge parameters and the input data to infer the optimal state for each position. This function makes calls to a C subroutine that allows the algorithm to be run more efficiently.
1 | viterbiClonalCN(data, convergeParams, genotypeParams = NULL)
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data |
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convergeParams |
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genotypeParams |
If |
It is difficult to interpret the output of this function directly. The user should use the function outputTitanResults
after.
numeric array
containing the integer states corresponding to each data point in data
.
Gavin Ha <gavinha@gmail.com>
Ha, G., Roth, A., Khattra, J., Ho, J., Yap, D., Prentice, L. M., Melnyk, N., McPherson, A., Bashashati, A., Laks, E., Biele, J., Ding, J., Le, A., Rosner, J., Shumansky, K., Marra, M. A., Huntsman, D. G., McAlpine, J. N., Aparicio, S. A. J. R., and Shah, S. P. (2014). TITAN: Inference of copy number architectures in clonal cell populations from tumour whole genome sequence data. Genome Research, 24: 1881-1893. (PMID: 25060187)
outputTitanResults
, loadAlleleCounts
1 2 3 4 | data(EMresults)
#### COMPUTE OPTIMAL STATE PATH USING VITERBI ####
optimalPath <- viterbiClonalCN(data, convergeParams)
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