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, though its ...

Linear Regression is the supervised Machine Learning model in which the model finds the best fit linear line between the independent and dependent variable. Linear Regression is of two types: Simple ...

Multiple Linear Regression: Predicted sales using TV, radio, and influencer types as predictors. Statistical Testing: Validated regression assumptions, including linearity, normality, homoscedasticity ...

In addition, we assessed the association between the polygenic risk scores for HDPs and negative control variables including age and socioeconomic status using linear regression ... To study this ...

Our data confirm that, although significant placebo and nocebo effects were found on days 1 and 8, the nocebo effect was consistently stronger. Both effects were primarily influenced by the most ...

Research details hyaluronic acid's properties through SEC-MALS and differential viscometry, highlighting its molecular weight and conformational behavior.