himelmallick/IntegratedLearner
Integrated Machine Learning for Multi-omics Classification and Prediction
IntegratedLearner helps researchers, clinicians, and biologists build robust predictive models using complex multi-omics data. You can input various types of omics data, like genomics, proteomics, or metabolomics, to classify samples (e.g., disease vs. healthy) or predict continuous outcomes (e.g., drug response). This tool is designed for anyone working with biological 'big data' who needs to integrate different data layers to find meaningful patterns and make predictions.
Use this if you need to combine multiple types of biological 'omics' data to make predictions or classify samples, and want to evaluate different data integration strategies.
Not ideal if you are working with a single type of omics data or if you need a solution outside of the R programming environment.
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Mar 20, 2026
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