darya-chyzhyk / confound_prediction
Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
☆40Updated 5 years ago
Alternatives and similar repositories for confound_prediction:
Users that are interested in confound_prediction are comparing it to the libraries listed below
- Conquering confounds and covariates: methods, library and guidance☆38Updated last year
- matplotlib mesh surface plotter☆29Updated 2 years ago
- Simple and brief walkthroughs to help grad students/new users complete basic tasks with workbench command and common HCP pipeline output …☆16Updated 3 years ago
- Implementation of the neuroquery encoding model that powers neuroquery.org☆34Updated last year
- Neuroimaging widgets for jupyter notebooks☆87Updated 2 years ago
- NeuroData's package for exploring and using progressive learning algorithms☆36Updated last month
- Repository for Sanchez-Romero, R., & Cole, M. W. (2021). "Combining multiple functional connectivity methods to improve causal inferences…☆21Updated 2 months ago
- Modeling and statistical inference on fMRI data in Python☆97Updated 5 years ago
- This an example app that can serve as a template.☆17Updated 2 months ago
- MNE-HCP for processing the Human Connectome Project MEG data using MNE-Python☆25Updated 9 months ago
- Multi-task regression in Python☆25Updated 4 years ago
- PHOTONAI is a high level python API for designing and optimizing machine learning pipelines.☆77Updated 3 months ago
- a standalone fork of nipy/nibabel#656☆31Updated this week
- Reusable neuroimaging pipelines using nipype☆17Updated 5 years ago
- LaTex code for creating my CV☆11Updated 5 years ago
- neuro data analysis in python☆33Updated 6 years ago
- Tutorials for task-based activation and network analysis using Python based modules: Nilearn and Nistats. Notebooks prepared on Neurohack…☆26Updated 6 years ago
- simple pytest tutorial☆67Updated last month
- VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.☆73Updated 10 months ago
- Benchmark denoising strategies available from fmriprep.☆16Updated last year
- Exercises for 2015 Berkeley practical neuroimaging class☆26Updated 9 years ago
- Tikhonov regression in python☆32Updated last year
- Fractional ridge regression☆48Updated 2 years ago
- Preconditioned ICA for Real Data☆108Updated 5 months ago
- Python package for permutation tests, for statistics and machine learning.☆24Updated this week
- Lightweight Python implementation of Normative Modelling☆40Updated 2 years ago
- missing data handing: visualize and impute☆18Updated 5 years ago
- DataLad extension for neuroimaging research☆17Updated 4 months ago
- List of ressources and practicals used for the fMRI data analysis course of UoB (UK) (2014-2017)☆45Updated 2 years ago
- The code to generate individualize state-specific node-level parcellations. For the original paper, see Salehi et al., "There is no singl…☆9Updated 5 years ago