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Showing 1 - 3 results of 3 for search '(( ((algorithm protein) OR (algorithm where)) function ) OR ( algorithm python function ))~', query time: 0.30s Refine Results
  1. 1
    Code

    Code by Baoqiang Chen (21099509)

    Published 2025
    “…We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …”
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  2. 2
    Core data

    Core data by Baoqiang Chen (21099509)

    Published 2025
    “…We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …”
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  3. 3
    Expression vs genomics for predicting dependencies

    Expression vs genomics for predicting dependencies by Broad DepMap (5514062)

    Published 2024
    “…</p><p dir="ltr"><br></p><p dir="ltr">GeneRelationships.csv: A list of genes and their related (partner) genes, with the type of relationship (self, protein-protein interaction, CORUM complex membership, paralog). …”
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