https://github.com/alleninstitute/deepinterpolation_paper
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: biorxiv.org -
✓Committers with academic emails
1 of 1 committers (100.0%) from academic institutions -
✓Institutional organization owner
Organization alleninstitute has institutional domain (alleninstitute.org) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.7%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: AllenInstitute
- Language: Python
- Default Branch: master
- Size: 303 MB
Statistics
- Stars: 3
- Watchers: 2
- Forks: 1
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
Removing independent noise in systems neuroscience data using DeepInterpolation
This repository is currently meant to support the bioRxiv publication results : https://www.biorxiv.org/content/10.1101/2020.10.15.341602v1\
It contains the entirety of the code and associated data to regenerate all figures. Figure 1, 2, 4 are entirely generated in python and directly inserted as is in the paper. Figure 3 is generated in sub-panels.
To recreate those figure, go to the figure folder and run associated python scripts.
Data is stored in the data/ folder. Because our paper needed datasets that could not be stored on Github, we added a "locallargedata" folder under data/. The readme file in this folder provides dropxbox links to download all large data dependencies.
Owner
- Name: Allen Institute
- Login: AllenInstitute
- Kind: organization
- Location: Seattle, WA
- Website: https://alleninstitute.org
- Repositories: 184
- Profile: https://github.com/AllenInstitute
Please visit http://alleninstitute.github.io/ for more information.
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| Name | Commits | |
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| Jerome Lecoq | j****l@a****g | 11 |
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- tmorshed (1)