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        <identifier>oai:figshare.com:article/34060014</identifier>
        <datestamp>2026-10-02T22:13:44Z</datestamp>
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          <dc:title>Spatial transcriptomics data</dc:title>
          <dc:creator>Xi Yang (22023692)</dc:creator>
          <dc:subject>Bioinformatic methods development</dc:subject>
          <dc:subject>spatialOmics</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This dataset contains AlphaSpatial-predicted cell-level gene expression and spatial coordinates for two breast tissue sections, 187 cases from the Yale HER2-status cohort and 81 cases from the Yale trastuzumab-response cohort. The archive comprises 270 AnnData files containing 14,594,148 valid cell predictions, together with an ROI mapping table. Each file provides untransformed predicted gene counts, gene identifiers, cell coordinates and available ROI and inference-quality metadata. The mapping table links Yale ROIs to their source slides and annotation geometries. These data support analyses of stromal organization, HER2-associated molecular and spatial patterns, and treatment-response-associated microenvironments. Expression values are model predictions rather than experimentally measured transcript counts. Original histological images and model weights are not included.&lt;/p&gt;</dc:description>
          <dc:date>2026-10-02T22:13:44Z</dc:date>
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