Description Usage Arguments Value References Examples
In construction of this feature vector, the dwt.nondyadic
function is used from
"waveslim", package
to calculate the discrete wavelet transform for each column of the PSSM matrix, which considers it as a
discrete signal. At last, 4 levels DWT is used to analysis of these discrete signals of PSSM (each column) and
extracted the PSSM-DWT feature from PSSM of protein.
1 | dwt_PSSM(pssm_name)
|
pssm_name |
name of pssm Matrix file |
feature vector of length 80
Y. Wang, Y. Ding, F. Guo, L. Wei, and J. J. P. o. Tang, "Improved detection of DNA-binding proteins via compression technology on PSSM information," vol. 12, no. 9, 2017.
Y. Wang, Y. Ding, J. Tang, Y. Dai, F. J. I. A. t. o. c. b. Guo, and bioinformatics, "CrystalM: a multi-view fusion approach for protein crystallization prediction," 2019.
1 | X<-dwt_PSSM(system.file("extdata", "C7GQS7.txt.pssm", package="PSSMCOOL"))
|
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