calculateTC_Sm {HPiP} | R Documentation

## Calculate Tripeptide Composition (TC) Descriptor from Biochemical Similarity Classes

### Description

This function calculates Tripeptide Composition (TC) descriptor from biochemical similarity classes.

### Usage

    calculateTC_Sm(x)

### Arguments

`x` | A data.frame containing gene/protein names and their fasta sequences.

### Details

calculateTC_Sm

### Value

A length 216 named vector for the data input.

### Author(s)

Matineh Rahmatbakhsh, matinerb.94@gmail.com

### References

Ahmed, I., Witbooi, P., and Christoffels, A. (2018). Prediction of human-Bacillus anthracis protein–protein interactions using multi-layer neural network.Bioinformatics 34, 4159–4164.

Cui, G., Fang, C., and Han, K. (2012). Prediction of protein-protein interactions between viruses and human by an SVM model. BMC bioinformatics, 1–10.

### See Also

See `calculateTC` for Tripeptide Composition descriptor.

### Examples

    data(UP000464024_df)
    x_df <- calculateTC_Sm(UP000464024_df)
    head(x_df, n = 2L)

[Package HPiP version 1.0.0 Index]