README.md

In sddchina/NTSMDA: Prediction of miRNA-disease associations by integrating network topological similarity

Our NTSMDA program mainly implements three functions (NTSMDA.R, LOOCV.R and Gaussian_kernel_Sim.R).

Functions:

NTSMDA (interaction, a, b): the function implements a NTSMDA algorithm.

interaction: an interaction profile matrix

a, b are two parameters in our algorithm, from 0 to 1.

LOOCV (interaction, a=0.5, b=0.9, color="red"): the function implements a leave-one-out cross-validation experiment.

interaction: an interaction profile matrix

a, b are two parameters in our algorithm, from 0 to 1. Default a= 0.5 and b = 0.9

color: the color of the ROC curve

Now we have uploaded a demo dataset (disease_miRNA_250_209.txt) in our Github page.

Using: interaction<-read.table(‘disease_miRNA_250_209.txt’)

a <-0.5

b <-0.9

score <- NTSMDA (interaction, a, b)

Package: NTSMDA Type: Package Title: Prediction of miRNA-disease associations by integrating network topological similarity Version: 0.1 Date: 2015-12-28 Author: Dongdong Sun @HILAB Maintainer: Dongdong Sun [e-mail] Description: This package is implemented NTSMDA algoritm. Depends: R (>= 3.2.0) Import: pROC URL: License: Artistic-2.0 LazyData: TRUE RoxygenNote: 5.0.1

sddchina/NTSMDA documentation built on May 29, 2019, 4:20 p.m.