README.md

In huynguyen250896/computeQ: Automatically compute Q-value using Benjamini-Hocberg procedure.

computeQ v 0.1.0

I. Introduction

The package helps researchers compute automatically rapidly the q-value in their study. The formula is used to compute the Q-value (Benjamini-Hochberg procedure) is as follows: Q-value = P-value * (total number of hypotheses tested) / (rank of the P-value) I build this R package as an auxiliary tool to the package computeC and geneSA.

II. Data Structure

'df' data: 'df' is a data frame including: - The rows: The rows are genes - The columns: 'P.value' column: the name of column must be named like this (i.e., P.value). P-values are ranked in the increasing order 'rank' column: the name of column must be named like this (i.e., rank). it is the rank of p values.

III. Implementation

Use the following command to install directly from GitHub;

devtools::install_github("huynguyen250896/computeQ")

Call the library:

library(computeQ)

running example:

computeQ(df)

IV. Citation

Please kindly cite the following paper and Star (and Fork, if can) this Github repository if you use the tool in this repo:

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Feel free to contact Quang-Huy Nguyen for any questions about the code and results.

huynguyen250896/computeQ documentation built on July 14, 2020, 8:28 p.m.