hmm_LPC: hmm_LPC

In protHMM: Protein Feature Extraction from Profile Hidden Markov Models

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"))

protHMM documentation built on July 9, 2023, 6:10 p.m.