rica

Rica (Reports for ICA) provides an app to visualize ICA components and perform manual classification in an interactive way

https://github.com/me-ica/rica

Science Score: 54.0%

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

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .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 (11.6%) to scientific vocabulary

Keywords

ica manual-classification
Last synced: 6 months ago · JSON representation ·

Repository

Rica (Reports for ICA) provides an app to visualize ICA components and perform manual classification in an interactive way

Basic Info
Statistics
  • Stars: 7
  • Watchers: 2
  • Forks: 2
  • Open Issues: 15
  • Releases: 21
Topics
ica manual-classification
Created over 4 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation Zenodo

README.md

Rica

DOI

As part of the ME-ICA pipeline, Rica (Reports for ICA) provides a reporting tool for ICA decompositions performed with tedana and aroma.

Pronunciation: [ˈrika]. For an audio recording on how to pronounce Rica see here.

About

Rica originally came out as an alternative to the reports provided by tedana, with the aim of making manual classification of ICA components possible. At the same time, the tool aspires to be of value for ICA decompositions made with tools other than tedana. Rica assumes you're working with files that mimic the outputs of tedana.

How to use Rica

Even if Rica is designed to be simple to use, you might want to see how you can use the app by watching this tutorial video.

Rica also supports keyboard shortcuts on the ICA components page. You can use the following shortcuts:

  • a: Accept component.
  • r: Reject component.
  • i: Ignore component.
  • left arrow: Go to previous component.
  • right arrow: Go to next component.

Using Rica online

Just head over to https://rica-fmri.netlify.app and have fun!

Using Rica locally

Installation

Rica can be installed by cloning this repository and executing the following command in the cloned repository:

npm install

In order to run the tool locally, two options exist:

1. Using a localhost

By executing the npm start command in the cloned repository, Rica will open in a new browser tab at http://localhost:3000 and you will be able to use the tool.

2. Compiling the tool

You could also compile the project so that you can use the tool just by opening an HTML file. For that, it is necessary to execute the following commands in the cloned repository.

bash npm run build npx gulp mv build/index.html build/rica.html open build/rica.html

Pro tip: when you open rica.html for the first time, BOOKMARK IT 😉

Getting involved

Want to learn more about our plans for developing Rica? Have a question, comment, or suggestion? Open or comment on one of our issues!

Owner

  • Name: ME-ICA
  • Login: ME-ICA
  • Kind: organization

Python-based tools for analyzing multi-echo fMRI data

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Uruñuela
    given-names: Eneko
    orcid: https://orcid.org/0000-0001-6849-9088
title: "Rica"
version: v1.0.17
doi: 10.5281/zenodo.5788350
date-released: 2021-12-17
url: "https://github.com/ME-ICA/rica"

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Dependencies

package.json npm
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  • gulp-replace ^1.1.3 development
  • postcss ^8.4.5 development
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  • react-dom ^17.0.2
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  • react-icons ^4.2.0
  • react-papaparse ^3.17.2
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  • styled-components ^5.3.1
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