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    Gastrointestinal DB: A next-generation multi-omics resource for gastrointestinal disease and molecular research by Venu Paritala, Koigoora Srikanth

    Published 2025-06-01
    “…It incorporates advanced analytical capabilities such as phylogenetic analysis using ClustalW and protein structure prediction through the Swiss Model. As a centralized and versatile resource, it enables thorough analyses that drive innovation in diagnostics, therapeutic development, and translational studies for gastrointestinal diseases. …”
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    Training and inference Time Efficiency Assessment Framework for machine learning algorithms: A case study for hyperspectral image classification by Xiaorou Zheng, Jianxin Jia, Shoubin Dong, Yawei Wang, Runuo Lu, Yuwei Chen, Yueming Wang

    Published 2025-07-01
    “…Through mathematical reasoning, TEAF models the training and inference time as functions (ψ) of complex data scales and core model parameters. …”
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