PSSMCOOL (version 0.2.4)

DFMCA_PSSM: DMACA-PSSM feature

Description

In this feature each column of PSSM Matrix, can be regarded as a time series. Each PSSM contains 20 columns Hence, each PSSM can be considered as 20 time series.The detrended moving-average cross-correlation analysis (DMCA) is developed to measure the level of cross-correlation between two non-stationary time series by fusing the detrended cross-correlation analysis (DCCA) and the detrended moving average(DMA).this function utilizes this algorithm for each column and each pair of columns to produce a feature vector of length 290.

Usage

DFMCA_PSSM(pssm_name, n = 7)

Arguments

pssm_name

name of PSSM Matrix file

n

A parameter called the window size that must be smaller than the length of the sequence

Value

feature vector of length 210

References

Y. Liang, S. Zhang, S. J. S. Ding, and Q. i. E. Research, "Accurate prediction of Gram-negative bacterial secreted protein types by fusing multiple statistical features from PSI-BLAST profile," vol. 29, no. 6, pp. 469-481, 2018.

Y. Liang and S. J. A. b. Zhang, "Prediction of apoptosis protein<U+2019>s subcellular localization by fusing two different descriptors based on evolutionary information," vol. 66, no. 1, pp. 61-78, 2018.

Examples

# NOT RUN {
X<-DFMCA_PSSM(system.file("extdata", "C7GQS7.txt.pssm", package="PSSMCOOL"),7)
# }