A new study shows how person-to-person variation in antibody immunity plays a key role in shaping which influenza (flu) strains dominate in a population.

A new study has shown that person-to-person variation in antibody immunity plays a key role in shaping which influenza (flu) ...

This valuable study investigates how stochastic and deterministic factors are integrated during cellular decision-making, particularly in situations where cells differentiate into distinct fates ...

When constructing a classification function for high-dimensional data using a basis function model, a huge number of ... effectively minimize squared loss and logistic loss. To make ALS applicable to ...

Study objective: In social epidemiology, it is easy to compute and interpret measures of variation in multilevel linear regression, but technical difficulties exist in the case of logistic regression.

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...