Description Usage Arguments Details Value Author(s) References See Also Examples
Profile-based protein representation derived by PSSM (Position-Specific Scoring Matrix)
1 | extrProtPSSMFeature(pssmmat)
|
pssmmat |
The PSSM computed by |
This function calculates the profile-based protein representation
derived by PSSM. The feature vector is based on the PSSM computed by
extrProtPSSM
. For a given sequence,
The PSSM feature represents the log-likelihood of the substitution of the
20 types of amino acids at that position in the sequence.
Each PSSM feature value in the vector represents the degree of conservation
of a given amino acid type. The value is normalized to
interval (0, 1) by the transformation 1/(1+e^(-x)).
A numeric vector which has 20 x N
named elements,
where N
is the size of the window (number of rows of the PSSM).
Min-feng Zhu <wind2zhu@163.com>, Nan Xiao <http://r2s.name>
Ye, Xugang, Guoli Wang, and Stephen F. Altschul. "An assessment of substitution scores for protein profile-profile comparison." Bioinformatics 27.24 (2011): 3356–3363.
Rangwala, Huzefa, and George Karypis. "Profile-based direct kernels for remote homology detection and fold recognition." Bioinformatics 21.23 (2005): 4239–4247.
extrProtPSSM extrProtPSSMAcc
1 2 3 4 5 6 7 | x = readFASTA(system.file('protseq/P00750.fasta', package = 'BioMedR'))[[1]]
dbpath = tempfile('tempdb', fileext = '.fasta')
invisible(file.copy(from = system.file('protseq/Plasminogen.fasta',
package = 'BioMedR'), to = dbpath))
pssmmat = extractProtPSSM(seq = x, database.path = dbpath)
pssmfeature = extrProtPSSMFeature(pssmmat)
head(pssmfeature)
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