README.md

In DGEAR: Differential Gene Expression Analysis with R

DGEAR

The goal of DGEAR is to help the researchers find differentially expressed gene from microarray gene expression data or from the RNA seq count data the easiest way possible.

Installation

You can install the development version of DGEAR like so:

# Simple installation:
install.packages("DGEAR")

Library calling

library(DGEAR)

Data format

DGEAR has it's own example data that can be accessible like so:

# Data will be loaded with lazy loading and can be accessible when needed.
data("gene_exp_data")
head(gene_exp_data)

How it works

Here's an example code to run the example dataset.

library(DGEAR)
data("gene_exp_data")
DGEAR(dataframe = gene_exp_data, con1 = 1, con2 = 10,
  exp1 = 11, exp2 = 20, alpha = 0.05, votting_cutoff = 2)

Try to find the DEGs from the example dataset with all the default arguments and understand it's working.

DGEAR documentation built on June 27, 2024, 1:07 a.m.