• Stars
    star
    2
  • Language
    R
  • Created over 7 years ago
  • Updated almost 5 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Bioconductor package of unified Wilcoxon-Mann-Whitney test for qPCR

More Repositories

1

RCM

A model-based visualization method for microbiome data
R
16
star
2

SPsimSeq

Semi-parametric simulation of bulk and single cell RNA-seq data
R
10
star
3

xnet

xnet: a package for supervised network prediction
R
10
star
4

pim

R package for probabilistic index models
R
9
star
5

PIMseq

repository for the package PIMseq
R
3
star
6

digipcr

digital PCR processing tools in R
R
2
star
7

reconsi

Resample collapsed null distributions for simultaneous inference under dependence
R
2
star
8

Additional-File-6

Additional File 6
2
star
9

smooth2

Additional Material for the book Smooth Tests of Goodness of Fit Using R
HTML
1
star
10

UCNR

Simulation code, case studies and tutorials for the Unified Censored Normal Regression model for qPCR analysis.
R
1
star
11

NTCPmodels

Package implementing NTCP models
R
1
star
12

dPowerCalcR

Power calculations for digital PCR
R
1
star
13

PIMseq-paper

This repository contains codes and materials used in the PIMseq paper.
R
1
star
14

combi

Explorative integration of genomics data through multiplots
R
1
star
15

EBayesH

The R package EBayesH
R
1
star
16

mountainr

Bringing R and alpine to Docker
1
star
17

AppDGE

Shiny application to evaluate the performance of several differential gene expression tools for RNA-seq data.
R
1
star
18

Additional-File-2

This github repository includes R software codes used for a study on the evaluation of 14 differential gene expression methods for RNA-sequencing data (particularly for mRNA and lncRNA). The study has three main modules: (1) comparing selected normalization methods, (2) concordance analysis of 14 DGE analysis tools using 6 publicly accessible real RNA-seq data, and (3) non-parametric simulation study to evaluate tools with respect to false discovery rate and sensitivity.
1
star