https://github.com/trendscenter/fit

Fusion ICA Toolbox (MATLAB)
https://github.com/trendscenter/fit

analysis cca eeg fmri gene ica iva joint-ica matlab mcca multi-modality parallel-ica pca

Last synced: 2 months ago
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Fusion ICA Toolbox (MATLAB)

• Host: GitHub
• URL: https://github.com/trendscenter/fit
• Owner: trendscenter
• Created: 2019-08-02T21:18:59.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2024-08-28T01:13:05.000Z (5 months ago)
• Last Synced: 2024-08-28T02:27:15.144Z (5 months ago)
• Topics: analysis, cca, eeg, fmri, gene, ica, iva, joint-ica, matlab, mcca, multi-modality, parallel-ica, pca
• Language: MATLAB
• Size: 17.2 MB
• Stars: 24
• Watchers: 3
• Forks: 6
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
# FIT

### Fusion ICA Toolbox v2.0.5.3 (MATLAB)

### Table of Contents

1. [Introduction](#secIntro)

2. [Download](#secDownload)

3. [Screen Shots](#secScreen)

4. [Documentation/Manual](#manual)

5. [Version History](#secVerHist)

6. [Publications](#pubs)

### Introduction 

Fusion ICA (FIT) Toolbox is a Matlab toolbox, implementing joint ICA, parallel ICA, CCA-Joint ICA methods and many other methods. It is supported by the NIH and NSF grants to Dr.Vince Calhoun and Dr. Tulay Adali.

FIT toolbox is used to examine the shared information between features (SPM contrast image, EEG signal or SNP data), having 3239 downloads (as of 7/6/24) by researchers world wide. For any question or comments please contact Vince Calhoun ([email protected]) or Cyrus Eierud ([email protected]).

### Downloads 

**Fusion ICA Toolbox (FIT)**  - Download latest version by clicking the green code button on the upper right on this page and then clone the software using the link and the git clone command in your terminal. Current FIT requiers MATLAB version 6.5 and higher (releases after 2002).


#### Stand Alone Versions

[**Windows 64**](https://trends-public-website-fileshare.s3.amazonaws.com/public_website_files/software/fit/software/stand_alone/windows/FITv2.0c_stand_alone.zip) - Compiled on Windows 64 bit OS with FITv2.0c. Please see [**read me**](https://trends-public-website-fileshare.s3.amazonaws.com/public_website_files/software/fit/software/stand_alone/windows/readme.txt) text file for installation details.


[**Linux-x86-64**](https://trends-public-website-fileshare.s3.amazonaws.com/public_website_files/software/fit/software/stand_alone/linux/FITv2.0c_stand_alone.zip) - Compiled on Linux-x86-64 bit OS with FITv2.0c. Please see [**read me**](https://trends-public-website-fileshare.s3.amazonaws.com/public_website_files/software/fit/software/stand_alone/linux/readme.txt) text file for installation details.


[**Example Subjects**](https://trends-public-website-fileshare.s3.amazonaws.com/public_website_files/software/fit/data/Fusion_Example_Data.zip) - Example data are: fmri-fmri, eeg-fmri and fmri-gene data-sets.


### Screen Shots 

| ![GIFT](https://github.com/trendscenter/fit/blob/master/doc/web/img/20240705Fit4Ims.png) |

|:--:|

| Figure 1. FIT Sceenshots|

### Documentation/Manual

[Click here for link to manual in PDF format](https://github.com/trendscenter/fit/blob/master/doc/v2.0e_fit.pdf) 


[Click here for link to manual in Word format](https://github.com/trendscenter/fit/blob/master/doc/v2.0e_fit.docx)


### Version History

[Click here for the FIT update history of features](https://github.com/trendscenter/fit/blob/master/doc/web/updates) 


### Publications

[Click here for a list of publications about FIT](https://github.com/trendscenter/fit/blob/master/doc/web/publications)