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  1. 1
    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction methods.

    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

    Published 2025
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  2. 2
    LBQANA python code + Merged Gene Expression Dataset from GSE10810, GSE17907, GSE20711, GSE42568, GSE45827, and GSE61304 for Breast Cancer Biomarker Discovery

    LBQANA python code + Merged Gene Expression Dataset from GSE10810, GSE17907, GSE20711, GSE42568, GSE45827, and GSE61304 for Breast Cancer Biomarker Discovery by M RN (9866504)

    Published 2025
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  3. 3
    <b>Rethinking neighbourhood boundaries for urban planning: A data-driven framework for perception-based delineation</b>

    <b>Rethinking neighbourhood boundaries for urban planning: A data-driven framework for perception-based delineation</b> by Shubham Pawar (22471285)

    Published 2025
    “…/perception_module/pred_output/20250626_wealthier_embedding_efficientnet.nc<br>Loading embeddings from <br>Applying PCA (variance threshold: 10)<br>0.83269083<br>wealthier Processed 70699 images with 10 PCA components<br>filename: .…”
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