Hasil Pencarian - Li-Pang Chen

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  1. 1
    NetDA: An R Package for Network-Based Discriminant Analysis Subject to Multilabel Classes

    NetDA: An R Package for Network-Based Discriminant Analysis Subject to Multilabel Classes oleh Li-Pang Chen

    Diterbitkan 2022-01-01
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  2. 2
    BOOME: A Python package for handling misclassified disease and ultrahigh-dimensional error-prone gene expression data.

    BOOME: A Python package for handling misclassified disease and ultrahigh-dimensional error-prone gene expression data. oleh Li-Pang Chen

    Diterbitkan 2022-01-01
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  3. 3
    Classification and prediction for multi-cancer data with ultrahigh-dimensional gene expressions.

    Classification and prediction for multi-cancer data with ultrahigh-dimensional gene expressions. oleh Li-Pang Chen

    Diterbitkan 2022-01-01
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  4. 4
    Classification and prediction for multi-cancer data with ultrahigh-dimensional gene expressions

    Classification and prediction for multi-cancer data with ultrahigh-dimensional gene expressions oleh Li-Pang Chen

    Diterbitkan 2022-01-01
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  5. 5
    AFFECT: an R package for accelerated functional failure time model with error-contaminated survival times and applications to gene expression data

    AFFECT: an R package for accelerated functional failure time model with error-contaminated survival times and applications to gene expression data oleh Li-Pang Chen, Hsiao-Ting Huang

    Diterbitkan 2024-08-01
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  6. 6
    Sentiment analysis and causal learning of COVID-19 tweets prior to the rollout of vaccines.

    Sentiment analysis and causal learning of COVID-19 tweets prior to the rollout of vaccines. oleh Qihuang Zhang, Grace Y Yi, Li-Pang Chen, Wenqing He

    Diterbitkan 2023-01-01
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  7. 7
    Model-based forecasting for Canadian COVID-19 data.

    Model-based forecasting for Canadian COVID-19 data. oleh Li-Pang Chen, Qihuang Zhang, Grace Y Yi, Wenqing He

    Diterbitkan 2021-01-01
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