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  1. 1
    Explained variance ration of the PCA algorithm.

    Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

    Published 2025
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  2. 2
    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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  3. 3
    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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  4. 4
    <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
    “…</p><p dir="ltr"><b>Input:</b></p><ul><li><code>perception_module/output_data/glasgow_perception.nc</code> - Perception scores from Step 2</li></ul><p dir="ltr"><b>Command:</b></p><pre><pre>python cluster_module/cluster_perceptions.py<br></pre></pre><p dir="ltr"><b>Output:</b></p><ul><li><code>cluster_module/output_data/clusters.shp</code> - Shapefile of neighbourhood boundaries</li></ul><h2>Quick Test</h2><p dir="ltr">To test the clustering module with demo data:</p><pre><pre>python cluster_module/cluster_perceptions.py<br></pre></pre><p dir="ltr">This uses the pre-computed embeddings from <code>perception_module/pred_output/20250626_*_embedding_efficientnet.nc</code>.…”
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