View source: R/pcm-01-extractScales.R
extractScales | R Documentation |
This function calculates scales-based descriptors derived by Principal Components Analysis (PCA). Users can provide customized amino acid property matrices. This function implements the core computation procedure needed for the scales-based descriptors derived by AA-Properties (AAindex) and scales-based descriptors derived by 20+ classes of 2D and 3D molecular descriptors (Topological, WHIM, VHSE, etc.) in the protr package.
extractScales(x, propmat, pc, lag, scale = TRUE, silent = TRUE)
x |
A character vector, as the input protein sequence. |
propmat |
A matrix containing the properties for the amino acids. Each row represent one amino acid type, each column represents one property. Note that the one-letter row names must be provided for we need them to seek the properties for each AA type. |
pc |
Integer. Use the first pc principal components as the scales. Must be no greater than the number of AA properties provided. |
lag |
The lag parameter. Must be less than the amino acids. |
scale |
Logical. Should we auto-scale the property matrix
( |
silent |
Logical. Whether we print the standard deviation,
proportion of variance and the cumulative proportion of
the selected principal components or not. Default is |
A length lag * p^2
named vector,
p
is the number of scales (principal components) selected.
Nan Xiao <https://nanx.me>
See extractDescScales
scales descriptors based on
20+ classes of molecular descriptors, and extractProtFP
for amino acid property based scales descriptors (protein fingerprint).
x <- readFASTA(system.file("protseq/P00750.fasta", package = "protr"))[[1]]
data(AAindex)
AAidxmat <- t(na.omit(as.matrix(AAindex[, 7:26])))
scales <- extractScales(x, propmat = AAidxmat, pc = 5, lag = 7, silent = FALSE)
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