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 \(D_n\)
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"))