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Update README with 10X Genomics datasets and comparison
Added a section detailing 10X Genomics benchmark datasets with links and a side-by-side comparison of CopyKAT-R and CopyKAT-Python.
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‎README.md‎

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Both CopyKAT-R and CopyKAT-Python were tested on raw datasets (no QC filtering) using 24 cores. A total of 20 datasets spanning human and mouse tissues across multiple 10X platforms were used for validation.
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<details>
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<summary><b>10x Genomics Benchmark Datasets</b></summary>
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<br>
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| Sample | Species | Tissue | Assay | Reported Cells |
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| :--- | :--- | :--- | :--- | ---: |
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| [human_pbmc_10k_3pv3](https://cf.10xgenomics.com/samples/cell-exp/3.0.0/pbmc_10k_v3/pbmc_10k_v3_web_summary.html) | human | PBMC healthy control | Universal 3' v3 | 11,769 |
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| [mouse_lung_nuclei_5k_3pv31](https://www.10xgenomics.com/datasets/5k-adult-mouse-lung-nuclei-isolated-with-chromium-nuclei-isolation-kit-3-1-standard) | mouse | Adult lung nuclei | Universal 3' v3.1 | 7,788 |
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| [mouse_brain_gemx](https://www.10xgenomics.com/datasets/10k-Mouse-Neurons-3p-gemx) | mouse | E18 brain neurons | Universal 3' GEM-X | 12,441 |
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</details>
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#### Side-by-Side Comparison: CopyKAT-R vs CopyKAT-Python
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**human_pbmc_10k_3pv3**

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