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AURORAData/AURORA_prediction

AURORA (Architecture Unveiling through RNA Omics and Routine Histology Analysis) trained_models: Pretrained AURORA models for LUAD, KIRC and BRCA. *.pth: model weight; *.json: parameters for the AURORA model; *.csv: supporting information (cell types, gene names and normalizing factors) used by *.json. predictions_112um: Virtual spatial transcriptomics at 112 μm * 112 μm by AURORA of TCGA-LUAD, TCGA-KIRC, TCGA-BRCA and BRCA pre-chemotherapy (https://doi.org/10.1038/s41586-021-04278-5)… See the full description on the dataset page: https://huggingface.co/datasets/AURORAData/AURORA_prediction.

sourceHugging Faceotherupdated 17h agoView on Hugging Face

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AURORA (Architecture Unveiling through RNA Omics and Routine Histology Analysis)

—trained_models: Pretrained AURORA models for LUAD, KIRC and BRCA.
—*.pth: model weight;
—*.json: parameters for the AURORA model;
—*.csv: supporting information (cell types, gene names and normalizing factors) used by *.json.

—predictions_112um: Virtual spatial transcriptomics at 112 μm * 112 μm by AURORA of TCGA-LUAD, TCGA-KIRC, TCGA-BRCA and BRCA pre-chemotherapy (https://doi.org/10.1038/s41586-021-04278-5) samples.
—*.h5 file: virtual spatial transcriptomics
—pos: spatial coordinates of patches (224 pixels * 224 pixels). This is the coordinates of the upper left corner of each patch.
—gene_exp: gene expressions. The names of the genes are stored in genes.csv.
—celltype_prop: cell type proportions in log scales. The name of the cell types are stored in celltypes.csv.
—genes.csv: names of predicted genes.
—celltypes.csv: names of predicted cell types.