hmm_LPC {protHMM} | R Documentation |
hmm_LPC
Description
This feature uses linear predictive coding (LPC) to map each HMM to a 20 \times 14 = 280
dimensional vector,
where for each of the 20 columns of the HMM, LPC is used to extract a 14 dimensional vector D_n
Usage
hmm_LPC(hmm)
Arguments
hmm |
The name of a profile hidden markov model file. |
Value
A vector of length 280.
References
Qin, Y., Zheng, X., Wang, J., Chen, M., & Zhou, C. (2015). Prediction of protein structural class based on Linear Predictive Coding of PSI-BLAST profiles. Central European Journal of Biology, 10(1).
Examples
h<- hmm_LPC(system.file("extdata", "1DLHA2-7", package="protHMM"))
[Package protHMM version 0.1.1 Index]