https://github.com/armbrustlab/moduledetection-evaluation
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
○DOI references
-
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (7.4%) to scientific vocabulary
Last synced: 10 months ago
·
JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: armbrustlab
- Default Branch: master
- Size: 14 MB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Fork of saeyslab/moduledetection-evaluation
Created about 6 years ago
· Last pushed almost 7 years ago
https://github.com/armbrustlab/moduledetection-evaluation/blob/master/
# Dependencies Data can be downloaded from zenodo: https://zenodo.org/record/1157938 These files should be put into the data folder Several scientific python packages are required to run the code. The easiest way to do this is to use the python 3.X Anaconda distribution (https://www.continuum.io/downloads). Alternatively you can install the manually using pip: * Jupyter * scipy * Pandas * numpy * statsmodels * scitkit-learn The Cython code for the evaluation metrics should also be compiled. For this, go to /lib and run `python3 setup.py build_ext --inplace` The Cython munkres library should be installed: `sudo pip3 install git+https://github.com/jfrelinger/cython-munkres-wrapper` After installation, run jupyter notebook in the notebooks/ folder. This folder contains several Jupter notebooks, each pertaining to a different part of the evaluation study.
Owner
- Name: Armbrust Lab
- Login: armbrustlab
- Kind: organization
- Location: Seattle, WA
- Website: http://armbrustlab.ocean.washington.edu
- Repositories: 23
- Profile: https://github.com/armbrustlab
Biological Oceanography Lab at the University of Washington