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Data Integration with Two-Way Orthogonal Partial Least Squares
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Build Reproducible Network Studies for OMOP Common Data Model
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Fitting Interpretable Neural Additive Models Using Orthogonalization
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Bayesian Logistic Regression for Oncology Dose-Escalation Trials
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Aids in the Analysis of Genes Influencing Cancer Survival
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Predict Cancer Subtypes Based on TCGA Data using Machine Learning Method
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Algorithms and Data Structures for Large Single-Cell Expression Matrices
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Construction of Genetic Maps in Experimental Crosses
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One Rule Machine Learning Classification Algorithm with Enhancements
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