NiMARE: Neuroimaging Meta-Analysis Research Environment
NiMARE is a Python package for neuroimaging meta-analyses. It makes conducting scary meta-analyses a dream!
To install NiMARE check out our installation guide.
Citing NiMARE
If you use NiMARE in your research, we recommend citing the Zenodo DOI associated with the NiMARE version you used, as well as the Aperture Neuro journal article for the NiMARE Jupyter book. You can find the Zenodo DOI associated with each NiMARE release at https://zenodo.org/record/6642243#.YqiXNy-B1KM.
# This is the Aperture Neuro paper.
@article{Salo2023,
doi = {10.52294/001c.87681},
url = {https://doi.org/10.52294/001c.87681},
year = {2023},
volume = {3},
pages = {1 - 32},
author = {Taylor Salo and Tal Yarkoni and Thomas E. Nichols and Jean-Baptiste Poline and Murat Bilgel and Katherine L. Bottenhorn and Dorota Jarecka and James D. Kent and Adam Kimbler and Dylan M. Nielson and Kendra M. Oudyk and Julio A. Peraza and Alexandre Pérez and Puck C. Reeders and Julio A. Yanes and Angela R. Laird},
title = {NiMARE: Neuroimaging Meta-Analysis Research Environment},
journal = {Aperture Neuro}
}
# This is the Zenodo citation for version 0.0.11.
@software{salo_taylor_2022_5826281,
author = {Salo, Taylor and
Yarkoni, Tal and
Nichols, Thomas E. and
Poline, Jean-Baptiste and
Kent, James D. and
Gorgolewski, Krzysztof J. and
Glerean, Enrico and
Bottenhorn, Katherine L. and
Bilgel, Murat and
Wright, Jessey and
Reeders, Puck and
Kimbler, Adam and
Nielson, Dylan N. and
Yanes, Julio A. and
Pérez, Alexandre and
Oudyk, Kendra M. and
Jarecka, Dorota and
Enge, Alexander and
Peraza, Julio A. and
Laird, Angela R.},
title = {neurostuff/NiMARE: 0.0.11},
month = jan,
year = 2022,
publisher = {Zenodo},
version = {0.0.11},
doi = {10.5281/zenodo.5826281},
url = {https://doi.org/10.5281/zenodo.5826281}
}
Then, to cite NiMARE in your manuscript, we recommend something like the following:
We used NiMARE v0.0.11 (RRID:SCR_017398; Salo et al., 2022a; Salo et al., 2022b).
- About NiMARE
- Installation
- API
nimare.dataset
: Dataset IOnimare.meta
: Meta-analytic algorithmsnimare.results
: Meta-analytic resultsnimare.correct
: Multiple comparisons correctionnimare.diagnostics
: Diagnosticsnimare.annotate
: Automated annotationnimare.decode
: Functional characterization analysisnimare.io
: Tools for ingesting data in other formatsnimare.nimads
: NeuroImaging Meta-Analysis Data Structurenimare.transforms
: Data transformsnimare.extract
: Dataset and model fetchingnimare.stats
: Statistical functionsnimare.generate
: Data generation functionsnimare.utils
: Utility functions and submodulesnimare.workflows
: Common workflowsnimare.reports
: NiMARE reportnimare.base
: Base classes
- Examples
- Contributing to NiMARE
- NiMARE Developer Guide
- Command Line Interface
- Outputs of NiMARE
- NiMARE Methods
- What’s New
- Unreleased
- 0.3.0 - 2024-07-16
- 0.2.2 - 2024-02-07
- 0.2.1 - 2024-01-11
- 0.2.0 - 2023-11-02
- 0.1.1 - 2023-06-12
- 0.1.0 - 2023-06-02
- 0.0.14 - 2023-03-31
- 0.0.13 - 2023-01-17
- 0.0.12 - 2022-07-22
- 0.0.11 - 2022-01-06
- 0.0.10 - 2021-10-06
- 0.0.9 - 2021-07-04
- 0.0.8 - 2021-05-17
- 0.0.7 - 2021-02-25
- 0.0.6 - 2021-02-25
- 0.0.5 - 2020-12-31
- 0.0.4 - 2020-12-28
- 0.0.3 - 2020-07-12
- 0.0.2 - 2020-05-11
- 0.0.1 - 2019-11-20
- Glossary