Most governments are trying to fight vaccine hesitancy with science and investment, while the United States heads in the opposite direction. By Damien Cave Damien Cave, who is based in Vietnam, ...

HO CHI MINH CITY, Vietnam -- When Vietnam considered making COVID-19 vaccines mandatory for children deep into the pandemic, many parents resisted, fearing side effects and rumors of expired doses.

Abstract: As a widely used method in signal processing, Principal Component Analysis (PCA) performs both the compression and the recovery of high dimensional data by leveraging the linear ...

Principal component analysis (PCA) is one of the most common exploratory data analysis techniques with applications in outlier detection, dimensionality reduction, graphical clustering, and ...

In today's data-driven world, statistical analysis plays a critical role in uncovering insights, validating hypotheses, and driving decision-making across industries. R, a powerful programming ...

I'm trying to find what people use to justify outliers in RNA-seq data and I found a biostars forum post about it here which says: "People generally inspect for outliers visually by observing the PCA ...