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gokmenzararsiz
dtComb:Statistical Combination of Diagnostic Tests
A system for combining two diagnostic tests using various approaches that include statistical and machine-learning-based methodologies. These approaches are divided into four groups: linear combination methods, non-linear combination methods, mathematical operators, and machine learning algorithms. See the <https://biotools.erciyes.edu.tr/dtComb/> website for more information, documentation, and examples.
Maintained by Gokmen Zararsiz. Last updated 2 days ago.
4.85 score 7 scripts
bioc
MLSeq:Machine Learning Interface for RNA-Seq Data
This package applies several machine learning methods, including SVM, bagSVM, Random Forest and CART to RNA-Seq data.
Maintained by Gokmen Zararsiz. Last updated 5 months ago.
immunooncologysequencingrnaseqclassificationclustering
4.81 score 27 scripts 1 dependents
cran
fastml:Fast Machine Learning Model Training and Evaluation
Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code by providing comprehensive data preprocessing and support for a wide range of algorithms with hyperparameter tuning. It offers performance metrics and visualization tools to facilitate efficient and effective machine learning workflows.
Maintained by Selcuk Korkmaz. Last updated 22 days ago.
3.76 score