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Analysis Info File
Monimu edited this page Feb 26, 2026
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This wiki page explains the format of the analysis info excel file.
Please use the following format / syntax:

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'M':
- Standard ALE / Main Effect
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'P':
- probabilistic / subsampled / CV'd ALE
- Need to specify the desired number of experiments selected for each subsample after the P, e.g. P25
- using the example from the P-ALE of the experiment_info file, 25 experiments will be subsampled multiple times (default 2500 or the maximum of unique subsamples that can be created) from all experiments that have the inhibition tag
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'C':
- Standard contrast (this line and the following are contrasted against each other)
- If the respective main effects in the two lines [e.g. 3 and 4] are not yet computed, they will be additionally computed
- using the example of the experiment_info file, a contrast analysis between the meta-analysis across experiments with the tag "low" and the meta-analysis across experiments with the tag "high" will be calculated
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'B':
- Balanced contrast
- Both analysis will be based on the same N
- Option to specify the desired N after the B, e.g. B20. If no N is provided N will be either equal to N-2 of the smaller analysis or, in case the number is to large, the mean between the smaller analysis N and 17.
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'Cluster':
- Hierarchical MA clustering as performed here: Reference.
- Ideally avoid spaces and non file-name characters
- When (re-) entering a title as part of a contrast, please keep naming/spelling consistent otherwise the “old” main effect is not recognized
- Names for seperate analyses need to be distinctly different. Otherwise the program will think the analysis was already run and conclude prematurely
Tags are used to run subanalysis of an larger overall dataset (e.g. only include experiments that use a certain version of a task). The tags are used following a simple logic:
- +ALL -> Include the entire set of experiments
- +Tag -> Include only those experiments that have the respective label
- +Tag1 +Tag2 -> Logical 'AND', includes only experiments that have both labels
- +Tag1 +Tag2 ? -> Logical ‘OR’, includes experiments that have either label
- -Tag -> Exclude experiments that have the respective label
This wiki will explain to you everything you need to know to run an ALE meta-analysis from scratch:
- How to set-up python using pyenv (Mac OS and Linux only)
- How to install JALE
- How to set-up a project folder and the required input files.
- What kind of output will be created and how to interpret it.