Published May 2, 2022
| Version v5
Dataset
Open
Results of IMC-Denoise: a content aware pipeline to enhance Imaging Mass Cytometry
Authors/Creators
- 1. Washington University in St. Louis
- 2. Washington University School of Medicine
Description
- Generated training sets:
- training_set_supp_table6.zip
- training_set_supp_table7.zip
- training_set_supp_table8.zip
- training_set_supp_table9.zip
- training_set_supp_table10.zip
- training_set_supp_table11.zip
- Trained weights of experimental data:
- training_result_supp_table7.zip
- training_result_supp_table8.zip
- training_result_supp_table9.zip
- training_result_supp_table10.zip
- training_result_supp_table11.zip
- Simulation results:
- Simulation_results.zip
- Experimental results:
- Human_bone_marrow_IMC_denoising_results.zip
- Human_breast_cancer_IMC_denoising_results.zip
- Human_pancreatic_cancer_IMC_denoising_results.zip
- MIBI_denoising_results.zip
- Ilastik-processed or manual-labeled results:
- DIMR_Ilastik_results.zip
- background_removal_results.zip
- manual_annotated_public_datasets.zip
- Extracted single cell data and the corresponding phenotyping results from both DIMR and DeepSNiF-based segmented cell masks:
- Single_cell_analysis.zip
Files
background_removal_results.zip
Files
(45.2 GB)
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