Description Usage Arguments Value References See Also Examples
For product of this feature vector similar to smoothed_PSSM feature, firstly PSSM Matrix is smoothed by appending zero vectors to its head and tail and utilizing sliding window of size odd, then this smoothed PSSM Matrix is condensed by the Kidera factors to produce feature vector for each residue.
1 | kiderafactor(pssm_name, v = NULL)
|
pssm_name |
name of PSSM Matrix file |
v |
vector of amino acids positions which we want to produce feature vector for them. |
matrix of feature vectors
C. Fang, T. Noguchi, H. J. I. j. o. d. m. Yamana, and bioinformatics, "Condensing position-specific scoring matrixs by the Kidera factors for ligand-binding site prediction," vol. 12, no. 1, pp. 70-84, 2015.
1 | X<-kiderafactor(system.file("extdata", "C7GQS7.txt.pssm", package="PSSMCOOL"),c(2,3,8,9))
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.