How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...
eLife

A network regularized linear model to infer spatial expression pattern for single cell

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, and its ...
Visual Studio Magazine

Nadaraya-Watson Kernel Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression using the C# language. NW kernel regression is simple to implement and is ...
eLife

A General Framework for Characterizing Optimal Communication in Brain Networks

The focus of this study is the development of a compelling method for analyzing network communication in the brain through an exhaustive computational analysis of virtual lesions. Using human ...
Scientific Research Publishing

Dynamic Conditional Feature Screening: A High-Dimensional Feature Selection Method Based on Mutual Information and Regression Error ()

1 School of Mathematics and Statistics, Guilin University of Technology, Guilin, China. 2 Applied Statistics Institute, Guilin University of Technology, Guilin, China.. Current high-dimensional ...
Game Rant

The Best Action-Adventure Games with Non-Linear Progression

Dom O'Leary is a contirbutor on Game Rant. He has over 6 years of experience in writing, covering everything from games news and reviews to commercial writing and editing. He's been a lover of games ...