feb stats 30

feb stats 60


bin 30
bin 30
simpler.R
02_boxplot_splicingdiff_signed_bin30.pdf
02_violin_bin30.pdf
text files
3_output_bin30

bin 60
bin 60
simpler60.R
02_boxplot_splicingdiff_signed_bin60.pdf
02_violin_bin60.pdf
text files
3_output_bin60



original code
02_splicing_parameter_forJen_master.Rmd

R code not used
rest.R


merge for heat maps

Euclidean distance
The Euclidean distance process determines the proximity between observations 
by drawing a straight line between pairs of observations. 
Therefore this process measures the distance between observations 
by looking at the length of this line between observations.



Pearson correlation
Correlation-based distance considers two objects to be similar if their features are highly correlated, 
even though the observed values may be far apart in terms of Euclidean distance.