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MIMYR benchmark data

The preprocessed tissue sections used to train and evaluate MIMYR, a generative model of missing tissue in spatial transcriptomics. Each section is an AnnData .h5ad file whose cells have CCF coordinates (x_ccf, y_ccf, z_ccf), Allen Brain Cell Atlas cell-type labels (class, subclass, supertype, cluster), and a gene expression matrix.

MIMYR downloads only the archives a run needs, and extracts them into its --data_dir:

Archive Contents MIMYR data modes
rq1-merscope.zip 53 coronal sections of one mouse brain (donor C57BL6J-638850), 550 genes rq1
Zhuang-ABCA-1.zip Zhuang-ABCA-1 (147 coronal sections), 1,122 genes, plus ccf-ABCA-1.csv base_zhuang1, rq4_noref
Zhuang-ABCA-2.zip Zhuang-ABCA-2 (66 coronal sections), plus ccf-ABCA-2.csv rq3, rq3_v2*, rq4_rq3
Zhuang-ABCA-3.zip Zhuang-ABCA-3 (23 sagittal sections), plus ccf-ABCA-3.csv rq4*
Zhuang-ABCA-4.zip Zhuang-ABCA-4 (3 sections), plus ccf-ABCA-4.csv —

The files are identical to the ones used for the paper.

Sources and attribution

All sections are derived from data released through the Allen Brain Cell Atlas under CC BY 4.0. If you use them, please cite the original datasets as well as MIMYR:

  • MERSCOPE whole-brain atlas (rq1-merscope.zip): Yao Z, et al. A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain. Nature 624, 317–332 (2023).
  • Zhuang-ABCA-1 to 4: Zhang M, et al. Molecularly defined and spatially resolved cell atlas of the whole mouse brain. Nature 624, 343–354 (2023).

Citation

Deshpande A, Bei Z, Ma J, Krieger S. MIMYR: Generative modeling of missing tissue in spatial transcriptomics. bioRxiv [Preprint]. 2025 Nov 27:2025.11.24.690239. doi: 10.1101/2025.11.24.690239. PMID: 41394599; PMCID: PMC12697367.

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