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0.0.11

Contents:

  • About NiMARE
  • Installation
  • API
    • nimare.dataset: Dataset IO
    • nimare.meta: Meta-analytic algorithms
    • nimare.results: Meta-analytic results
    • nimare.correct: Multiple comparisons correction
    • nimare.diagnostics: Diagnostics
    • nimare.annotate: Automated annotation
    • nimare.decode: Functional characterization analysis
    • nimare.io: Tools for ingesting data in other formats
    • nimare.transforms: Data transforms
    • nimare.extract: Dataset and model fetching
    • nimare.stats: Statistical functions
    • nimare.generate: Data generation functions
    • nimare.utils: Utility functions and submodules
      • nimare.utils.get_template
      • nimare.utils.get_masker
      • nimare.utils.get_resource_path
        • Examples using nimare.utils.get_resource_path
      • nimare.utils.vox2mm
      • nimare.utils.mm2vox
      • nimare.utils.tal2mni
      • nimare.utils.mni2tal
    • nimare.workflows: Common workflows
    • nimare.base: Base classes
  • Examples
  • Contributing to NiMARE
  • NiMARE Developer Guide
  • Command Line Interface
  • Outputs of NiMARE
  • NiMARE Methods
NiMARE
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  • NiMARE: Neuroimaging Meta-Analysis Research Environment
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nimare.utils.get_resource_path

get_resource_path()[source]

Return the path to general resources, terminated with separator.

Resources are kept outside package folder in “datasets”. Based on function by Yaroslav Halchenko used in Neurosynth Python package.

Examples using nimare.utils.get_resource_path

The NiMARE Dataset object

The NiMARE Dataset object

Transform images into coordinates

Transform images into coordinates

Coordinate-based meta-analysis

Coordinate-based meta-analysis

Image-based meta-analysis

Image-based meta-analysis

Compare image and coordinate based meta-analyses

Compare image and coordinate based meta-analyses

Subtraction and conjunction CBMAs

Subtraction and conjunction CBMAs

Generate modeled activation maps

Generate modeled activation maps

Combine CBMA kernels and estimators

Combine CBMA kernels and estimators

Generate MA maps with peaks2maps

Generate MA maps with peaks2maps

Simple annotation from text

Simple annotation from text

The Cognitive Atlas

The Cognitive Atlas

LDA topic modeling

LDA topic modeling

GCLDA topic modeling

GCLDA topic modeling

Discrete functional decoding

Discrete functional decoding

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