Description Usage Arguments Value References Examples
View source: R/Grey_PSSM_PseAAC.R
This function produces a feature vector of length 100 which the first 20 components of this vector is the normalized occurrence frequency of the native amino acids in the protein. the next 20 components are mean of 20 PSSM columns and grey system model approach as elaborated in (Min et al. 2013) is used to define the next 60 components.
1 | grey_pssm_pseAAC(pssm_name)
|
pssm_name |
name of PSSM matrix file |
feature vector of length 100
J.-L. Min, X. Xiao, and K.-C. J. B. r. i. Chou, "iEzy-Drug: A web server for identifying the interaction between enzymes and drugs in cellular networking," vol. 2013, 2013.
X. Xiao, M. Hui, and Z. J. T. J. o. m. b. Liu, "IAFP-Ense: an ensemble classifier for identifying antifreeze protein by incorporating grey model and PSSM into PseAAC," vol. 249, no. 6, pp. 845-854, 2016.
M. Kabir et al., "Improving prediction of extracellular matrix proteins using evolutionary information via a grey system model and asymmetric under-sampling technique," vol. 174, pp. 22-32, 2018.
1 | X<-grey_pssm_pseAAC(system.file("extdata", "C7GQS7.txt.pssm", package="PSSMCOOL"))
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.