Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Discover 1-minute Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

Accurate relative radiometric normalization (RRN) is important for reliable multitemporal remote sensing image analysis. Traditional methods often depend on coregistered image pairs, limiting their ...

I initially did not use _from_gnomad from vrs-python's translator since we tokenize, classify, validate, then translate for toVRS and normalize. I'm wondering if for VAI (+ possible performance pur ...

Crystal efficiency normalization is a critical component of the PET image generation chain for the generation of accurate and artifact-free images. Crystal efficiency normalization needs to be ...