- Connect to Biowulf via NoMachine
- Launch a terminal on Biowulf
- Run:
** PLEASE NOTE ***
there are many other solutions for computing SUV, see below link for more info.
https://qibawiki.rsna.org/index.php/Standardized_Uptake_Value_(SUV)
This gist contains code to perform the below with python (3.7).
+ download data from TCIA via tcia-rest api. (download.py, tciaclient.py)
This guide assumes that:
gcloud) is installed on your local machinegcloud auth login| ############## | |
| # pretty prompt and font colors | |
| ############## | |
| # alter the default colors to make them a bit prettier | |
| echo -en "\e]P0000000" #black | |
| echo -en "\e]P1D75F5F" #darkred | |
| echo -en "\e]P287AF5F" #darkgreen | |
| echo -en "\e]P3D7AF87" #brown | |
| echo -en "\e]P48787AF" #darkblue |
| """ | |
| Partial Correlation in Python (clone of Matlab's partialcorr) | |
| This uses the linear regression approach to compute the partial | |
| correlation (might be slow for a huge number of variables). The | |
| algorithm is detailed here: | |
| http://en.wikipedia.org/wiki/Partial_correlation#Using_linear_regression | |
| Taking X and Y two variables of interest and Z the matrix with all the variable minus {X, Y}, |
| """ | |
| ---------------------------------- | |
| jg_MUSC_connectome_tractography.py | |
| ---------------------------------- | |
| Modified version of MUSC connectome (probabilistic) tractography pipeline | |
| (original code is at bottom of file, plus links to website) | |
| Modifications: |