Feature selection (FS) is a crucial step in the data preprocessing phase of machine learning. FS is the process of selecting the relevent subset features from a large set of original features. In this ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

Molecular glues, tiny molecules that connect one protein to another, are promising targets for pharmaceutical research. By ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

The publicly available Breast Cancer Wisconsin (Diagnostic) dataset was utilized and underwent preprocessing steps, including dimensionality reduction and feature selection methods such as Principal ...