This publication contributes to work in applied statistics, model selection, with a focus reflected in its title: Epigenetic Impact of Sleep Timing in Children: Novel DNA Methylation Signatures via SWAG Analysis.
This publication contributes to work in applied statistics, model selection, with a focus reflected in its title: Machine Learning and Explainable AI for Type-2 Diabetes Management.
This publication contributes to work in applied statistics, model selection, with a focus reflected in its title: Stellar Blend Image Classification Using Computationally Efficient Gaussian Processes.
This publication contributes to work in applied statistics, model selection, with a focus reflected in its title: A Multi-Model Framework to Explore ADHD Diagnosis From Neuroimaging Data.
This publication contributes to work in applied statistics, model selection, with a focus reflected in its title: Stellar Blend Image Classification Using Computationally Efficient Gaussian Processes (MuyGPs).
This work attempts to explain some contradictory results that have been found regarding the oncogenic or protective roles of miRNAs in breast cancer progression
Many machine/statistical-learning techniques are tailored for accurate prediction but not necessarily for ease of interpretation. This project aims to achieve both.
This publication contributes to work in applied statistics, model selection, with a focus reflected in its title: Chameleon microRNAs in Breast Cancer: Their Elusive Role as Regulatory Factors in Cancer Progression.
This publication contributes to work in applied statistics, model selection, with a focus reflected in its title: Swag: A Wrapper Method for Sparse Learning.
This publication contributes to work in applied statistics, model selection, with a focus reflected in its title: Is Nonmetastatic Cutaneous Melanoma Predictable Through Genomic Biomarkers?.