runHeatmap

data, 

title, 

dend, 

names, 

= c('complete', 'ward.D2', 'single', 'average',
'mcquitty', 'median' , 'centroid')

clustering_method

= c('cor','euclidean', 'maximum', 'manhattan',
'canberra', 'binary' ,'minkowski')

distance_method


Creates a heatmap based on the user selected parameters within shiny.


Bioinformatics platform containing interactive plots and tables
for differential gene and region expression studies. Allows visualizing
expression data much more deeply in an interactive and faster way. By
changing the parameters, user can easily discover different parts of the
data that like never have been done before. Manually creating and looking
these plots takes time. With this system users can prepare plots without
writing any code. Differential expression, PCA and clustering analysis are
made on site and the results are shown in various plots such as scatter,
bar, box, volcano, ma plots and Heatmaps.

runHeatmap: runHeatmap

Description

Usage

Arguments

Value

Examples