Data

Tools

Indexes

Applications

Experiments

Open Source Science

https://github.com/alleninstitute/all-active-manuscript

Code for reproducing the figures presented in: Single-neuron models linking electrophysiology, morphology and transcriptomics across cortical cell types

https://github.com/alleninstitute/all-active-manuscript

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.7%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Code for reproducing the figures presented in: Single-neuron models linking electrophysiology, morphology and transcriptomics across cortical cell types

Basic Info
  • Host: GitHub
  • Owner: AllenInstitute
  • License: other
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 50.5 MB
Statistics
  • Stars: 9
  • Watchers: 3
  • Forks: 2
  • Open Issues: 2
  • Releases: 0
Created over 6 years ago · Last pushed about 3 years ago
Metadata Files
Readme License

README.md

Generic badge

All-active-Manuscript

Codes for generating figures presented in the All-active manuscript.

alt text

Instructions

To run the notebooks set up a conda environment using the following commands: bash git clone https://github.com/AllenInstitute/All-active-Manuscript.git cd All-active-Manuscript conda env create -f env.yaml conda activate allen

Level of support

We are planning on occasional updating this tool with no fixed schedule. Community involvement is encouraged through both issues and pull requests.

Owner

  • Name: Allen Institute
  • Login: AllenInstitute
  • Kind: organization
  • Location: Seattle, WA

Please visit http://alleninstitute.github.io/ for more information.

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 54
  • Total Committers: 1
  • Avg Commits per committer: 54.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Ani Nandi a****8@g****m 54

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 0
  • Total pull requests: 3
  • Average time to close issues: N/A
  • Average time to close pull requests: less than a minute
  • Total issue authors: 0
  • Total pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 2
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • dependabot[bot] (2)
  • anirban6908 (1)
Top Labels
Issue Labels
Pull Request Labels
dependencies (2)

Dependencies

requirements.txt pypi
  • allensdk *
  • ateamopt master
  • black *
  • bluepyopt *
  • bluepyopt speedup_x
  • bokeh ==2.1.1
  • feather-format ==0.4.0
  • floweaver *
  • ipykernel ==5.1.0
  • ipysankeywidget *
  • matplotlib ==3.0.2
  • neurom ==1.4.13
  • neuron *
  • numpy ==1.18.5
  • pandas ==1.1.0
  • scikit-learn ==0.23.2
  • scipy ==1.4.1
  • seaborn ==0.9.0
  • selenium *
  • statsmodels ==0.10.1
  • umap-learn *
setup.py pypi
  • floweaver *
  • git *
  • numpy >=1.6
  • pandas >=0.18
  • scikit-learn >=0.20.3
  • seaborn >=0.9.0
  • umap-learn >=0.3