We investigated a complex clinical condition applying an unsupervised computational strategy, which integrates genome-wide expression analysis in heterogeneous groups of patients to identify and characterize shared trajectories of disease …
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Dependency This post demonstrate the following:
Quantile Normalization implemented in R package preprocessCore. Inverse-Normal-Transform implemented in RNOmni source("http://www.bioconductor.org/biocLite.R") biocLite("preprocessCore") install.packages("RNOmni") library(preprocessCore) library(RNOmni) General Princinples Quantile Normalization Simplest way to put it: Quantile normalization is a technique for making different distributions have the same statistical property by “aligning”" their quantiles.
The mechanisms initiating the late immune response to allografts are poorly understood. Through transcriptome analysis of serial protocol biopsies in kidney transplant recipients, we found a tight correlation between the initial response to kidney …
A full scientific report with R markdown, formatted as `gitbook`.
I created this R Shiny App to supplement my this [publication](asd). It pre-loads tens of thousands genes(take a few seconds) and support fuzz search. Researcher could investigate the gene expression in this kidney injury setting changes by interactive scatter plot and heatmap. Click `draw plot` to go!