Description Usage Arguments Details Value Author(s) See Also Examples
Scales-Based Descriptors with 20+ classes of Molecular Descriptors
1 2 |
x |
A character vector, as the input protein sequence. |
propmat |
The matrix containing the descriptor set for the amino acids,
which could be chosen from
|
index |
Integer vector or character vector. Specify which molecular
descriptors to select from one of these deseriptor sets by specify the
numerical or character index of the molecular descriptors in the
descriptor set.
Default is |
pc |
Integer. The maximum dimension of the space which the data are to be represented in. 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 |
This function calculates the scales-based descriptors with molecular descriptors sets calculated by Dragon, Discovery Studio and MOE. Users could specify which molecular descriptors to select from one of these deseriptor sets by specify the numerical or character index of the molecular descriptors in the descriptor set.
A length lag * p^2
named vector,
p
is the number of scales selected.
Min-feng Zhu <wind2zhu@163.com>, Nan Xiao <http://r2s.name>
See extrPCMScales
for generalized
AA-descriptor based scales descriptors.
1 2 3 | x = readFASTA(system.file('protseq/P00750.fasta', package = 'BioMedR'))[[1]]
descscales = extrPCMDescScales(x, propmat = 'AATopo', index = c(37:41, 43:47),
pc = 5, lag = 7, silent = FALSE)
|
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