Exploring interactions in high-dimensional genomic data: an overview of Logic Regression, with applications

Exploring interactions in high-dimensional genomic data: an overview of Logic Regression, with applications

Logic Regression is an adaptive regression methodology mainly developed to explore highorder interactions in genomic data. Logic Regression is intended for situations where most of the covariates in the data to be analyzed are binary. The goal of Logic Regression is to find predictors that are Boolean (logical) combinations of the original predictors. In this article, we give an overview of the...

Extension of Logic regression to Longitudinal data: Transition Logic Regression

Logic regression is a generalized regression and classification method that is able to make Boolean combinations as new predictive variables from the original binary variables. Logic regression was introduced for case control or cohort study with independent observations. Although in various studies, correlated observations occur due to different reasons, logic regression have not been studi...

Methods for regression analysis in high-dimensional data

By evolving science, knowledge and technology, new and precise methods for measuring, collecting and recording information have been innovated, which have resulted in the appearance and development of high-dimensional data. The high-dimensional data set, i.e., a data set in which the number of explanatory variables is much larger than the number of observations, cannot be easily analyzed by ...

High-Dimensional Probability An Introduction with Applications in Data Science

An Overview of Stem Cells Applications in Military Medicine

War's nature is constantly changing over time with the progress in military technology and weapons of war, which has led to a diverse pattern of tissue injuries. Developments in personal protective equipment and body armor, rapid transfer from the battlefield to medical centers, improved resuscitation measures, bleeding control, and wound management have increasingly contributed to the wounded ...