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Shanny Foo's Projects

andysbrainbook icon andysbrainbook

This repository contains the files that generate Andy's Brain Book on ReadTheDocs.

awesome-phd icon awesome-phd

All the resources I wish I knew when starting my PhD. This repository is aimed to be a living, constantly developing resource where everybody can contribute with new resources!

bids-starter-kit icon bids-starter-kit

Collection of tutorials, wikis, and templates to get you started with creating BIDS compliant datasets

brainconn icon brainconn

Brainconn - an R package for visualising brain connectivity data in 2D and interactive 3D

gpls icon gpls

a home for generalized partial least squares

gtsummary icon gtsummary

Presentation-Ready Data Summary and Analytic Result Tables

imagevis3d icon imagevis3d

An out-of-core volumetric rendering application.

longcombat icon longcombat

R package to implement longitudinal ComBat: A method for harmonizing multi-batch longitudinal data

matdrab2matfab icon matdrab2matfab

MATLAB and data science course, taking you from MATDRAB to MATFAB

mne-python icon mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

mriqc icon mriqc

Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain

neuroharmonize icon neuroharmonize

Harmonization tools for multi-site neuroimaging analysis. Implemented as a python package. Harmonization of MRI, sMRI, dMRI, fMRI variables with support for NIFTI images. Complements the work in Neuroimage by Pomponio et al. (2019).

nipype_tutorial icon nipype_tutorial

Learn Nipype with these tutorial notebooks - go here to see them online -->

plotly.py icon plotly.py

The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

pls_connectome icon pls_connectome

Script for resting-state correlation analysis using Partial Least Squares

pyls icon pyls

A Python implementation of Partial Least Squares (PLS) decomposition

pysustain icon pysustain

Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.

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