In the rapidly evolving field of drug discovery, single-cell analysis has become an invaluable tool for understanding cellular heterogeneity and molecular pathways. However, traditional single-cell ...

Have you ever found yourself staring at rows and rows of budget and actual data, wondering how to make sense of it all? You’re not alone. Budget versus actual analysis is one of those tasks that feels ...

Have you ever found yourself staring at a tangled mess of Excel formulas, wondering if there’s a simpler way to get the results you need? You’re not alone. Whether you’re managing sales data, tracking ...

The objective of this work is to identify which carcass and cut characteristics have the best discriminatory power, between sexes and slaughter weights, through discriminant analysis. Were used 32 ...

The present study aims to develop a statistical tool for turkey breed traceability testing based on meat and carcass quality characteristics. To this end, a comprehensive meta-analysis was performed, ...

Abstract: Linear discriminant analysis (LDA) is a widely used technique for data classification. The method offers adequate performance in many classification problems, but it becomes inefficient when ...

Most freshwater mussels have larvae (glochidia in Unionidae, Margaritiferidae and Hyriidae) that are parasitic on fishes. This study describes and compares the diversity of glochidia among 17 species ...

Scientists doing “gain-of-function” research said that heightened fears of lab leaks are stalling studies that could thwart the next pandemic virus. By Benjamin Mueller and Sheryl Gay Stolberg ...