Welcome to Regression Alert, your weekly guide to using regression to predict the future with uncanny accuracy.

This study presents a large, systematically curated catalog of non-canonical open reading frames (ncORFs) in human and mouse by reanalyzing nearly 400 Ribo-seq datasets using a standardized pipeline; ...

As we react to the predictions that epidemiological models make, changing the ways we act and go about our lives, those ...

Abstract: In conventional process monitoring, a latent variable model (LVM) is first learned in offline training and the statistics related to extracted latent features and residuals are then used for ...

Abstract: In bioinformatics, the rapid development of sequencing technology has enabled us to collect an increasing amount of omics data. Classification based on omics data is one of the central ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...

Green Transformational Leadership on Green Creativity: A Quantitative Study Within the Ghanaian Manufacturing Industry ...