Check Study Compatibility

Check Study Compatibility calculates the Pearson correlation coefficients of the medians of data values. If the medians are correlated, the studies are compatible and can be analysed together. This strategy was published in Oncoimmunology. 2016 May 19;5(7).

Citation :

When using Check Study Compatibility to process data for publication please cite the software URL and :

Tosolini, M., Algans, C., Pont, F., Ycart, B., & Fournié, J. J. (2016). Large-scale microarray profiling reveals four stages of immune escape in non-Hodgkin lymphomas. Oncoimmunology, 5(7), e1188246.

data2 & data3 : compatible

data can not be computed with data2 & data3

Manual :

1- install Julia 1.3.1 free programming language and install package :

CSV

Missings

DataFrames

Statistics

2- unzip the software.

3- copy your n tables in csv (TAB delimitated by default) files in the “data” directory.

- first line of the table : column names

- first column : row names

- next columns : values

very important : missing values MUST be NA

example :

4- execute the software by the command : julia software_name

5- results are in the results and table directory.