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README.md

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@@ -38,7 +38,7 @@ The output will be stored in `cost_source_target.csv` with `n` rows and`m` colum
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## 2. Finding mappings
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Now, we can specify two atlases and the cost matrix derived from previous step to obtain optimal transport mapping between these two.
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```console
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python build_mapping.py -s craddock -t shen
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python build_mapping.py -s craddock -t shen -c cost_craddock_shen.csv
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```
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The output will be stored in `T_source_target.csv` with `n` rows and`m` columns indicating number of ROIs in source and target respectively. Each row is a probability distribution exhibiting optimum assignment of values from the appropriate node to target nodes.
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