mofapy2 0.5.7-foss-2020bMOFA is a factor analysis model that provides a general framework for the integration of multi-omic data sets in an unsupervised fashion.
Accessing mofapy2 0.5.7-foss-2020b
To load the module for mofapy2 0.5.7-foss-2020b please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load mofapy2/0.5.7-foss-2020b
BEAR Apps Version
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR 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.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
For more information visit the mofapy2 website.
This version of mofapy2 has a direct dependency on: foss/2020b h5py/3.1.0-foss-2020b Python/3.8.6-GCCcore-10.2.0 scikit-learn/0.23.2-foss-2020b SciPy-bundle/2020.11-foss-2020b
This version of mofapy2 is a direct dependent of: MOFA2/1.0.1-foss-2020b-R-4.0.3
Last modified on 15th April 2021