A Practical Guide to Visualization and Statistical Analysis of R. solanacearum Infection Data Using R

A Practical Guide to Visualization and Statistical Analysis of R. solanacearum Infection Data Using R

This paper describes and summarizes approaches for visualization and statistical analysis using data from Ralstonia solanacearum infection experiments based on methods and concepts that are broadly applicable. Members of the R. solanacearum species complex cause bacterial wilt disease. Bacterial wilt is a lethal plant disease and has been studied for over 100 years. During this time various met...

A Handbook of Statistical Analysis Using R

Data Mining in R using Rattle

T‎his paper is a brief introduction to the concepts, methods ‎and ‎algorithms ‎for ‎data ‎mining ‎in ‎statistical ‎software R ‎using a‎ ‎package ‎named ‎Rattle. Rattle ‎provides a‎ ‎good ‎graphical ‎environment ‎to ‎perform ‎some ‎of ‎the ‎procedures ‎and ‎algorithms ‎without ‎the ‎need ‎for ‎programming. ‎Some ‎parts ‎of ‎the ‎package ‎will ‎be ‎explained ‎by a‎ ‎number ‎of ‎examples.‎ ‎ ...

A practical algorithm for [r, s, t]-coloring of graph

Coloring graphs is one of important and frequently used topics in diverse sciences. In the majority of the articles, it is intended to find a proper bound for vertex coloring, edge coloring or total coloring in the graph. Although it is important to find a proper algorithm for graph coloring, it is hard and time-consuming too. In this paper, a new algorithm for vertex coloring, edge coloring an...

TRAPR: R Package for Statistical Analysis and Visualization of RNA-Seq Data

High-throughput transcriptome sequencing, also known as RNA sequencing (RNA-Seq), is a standard technology for measuring gene expression with unprecedented accuracy. Numerous bioconductor packages have been developed for the statistical analysis of RNA-Seq data. However, these tools focus on specific aspects of the data analysis pipeline, and are difficult to appropriately integrate with one an...