mitre 1.0b1-foss-2019b-Python-2.7.16

MITRE learns predictive models of patient outcomes from microbiome time-series data in the form of short lists of interpretable rules.

Accessing mitre 1.0b1-foss-2019b-Python-2.7.16

To load the module for mitre 1.0b1-foss-2019b-Python-2.7.16 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load mitre/1.0b1-foss-2019b-Python-2.7.16

BEAR Apps Version

2019b

Architectures

EL8-cascadelakeEL8-icelakeEL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

  • mitre 1.0b1
  • pypolyagamma 1.2.3

More Information

For more information visit the mitre website.

Dependencies

This version of mitre has a direct dependency on: ETE/3.1.2-foss-2019b-Python-2.7.16 foss/2019b matplotlib/2.2.5-foss-2019b-Python-2.7.16 Python/2.7.16-GCCcore-8.3.0 scikit-learn/0.20.4-foss-2019b-Python-2.7.16 SciPy-bundle/2019.10-foss-2019b-Python-2.7.16 tqdm/4.41.1-GCCcore-8.3.0

Last modified on 9th November 2020