R: Model parameters for the LOGICOIL prediction algorithm.
Model_Parameters
R Documentation
Model parameters for the LOGICOIL prediction algorithm.
Description
A list containing five elements, each of which are required to run the LOGICOIL prediction algorithm.
Usage
data(Model_Parameters)
Format
A list containing five elements, which are required to run the LOGICOIL model:
amino: a character vector containing allowed amino-acids.
register: a character vector containing allowed register assignments.
amino_interactions: a 87 x 2 matrix containing all amino-amino interactions considered in the LOGICOIL model.
register_interactions: a 87 x 2 matrix containing the matching register positions of the amino-amino interactions.
lag_matrix: a 7 x 7 matrix that gives the positional lag between register positions.
Source
DOI: 10.1093/bioinformatics/bts648
References
Thomas L. Vincent, Peter J. Green and Dek N. Woolfson. "LOGICOIL-multi-state prediction of coiled-coil oligomeric state", 29(1), pp69-76, Bioinformatics, (2013). DOI: 10.1093/bioinformatics/bts648
Examples
data(Model_Parameters)
names(Model_Parameters)
# Optional to run
# summary(Model_Parameters$amino)
# summary(Model_Parameters$register)
# head(Model_Parameters$amino_interactions, 5)
# head(Model_Parameters$register_interactions, 5)
# Model_Parameters$lag_matrix
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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> library(LOGICOIL)
Loading required package: nnet
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/LOGICOIL/Model_Parameters.Rd_%03d_medium.png", width=480, height=480)
> ### Name: Model_Parameters
> ### Title: Model parameters for the LOGICOIL prediction algorithm.
> ### Aliases: Model_Parameters
> ### Keywords: datasets
>
> ### ** Examples
>
> data(Model_Parameters)
> names(Model_Parameters)
[1] "amino" "register" "amino_interactions"
[4] "register_interactions" "lag_matrix"
>
> # Optional to run
> # summary(Model_Parameters$amino)
> # summary(Model_Parameters$register)
> # head(Model_Parameters$amino_interactions, 5)
> # head(Model_Parameters$register_interactions, 5)
> # Model_Parameters$lag_matrix
>
>
>
>
>
> dev.off()
null device
1
>