Ashlar performs fast, high-quality stitching of microscopy images. It also co-registers multiple rounds of cyclic imaging for methods such as CyCIF and CODEX. Ashlar can read image data directly from ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.

Python NLP makes text summarization faster and easier for large documents. Extractive methods are more accurate, while abstractive methods are more readable. Hybrid summarization reduces errors and ...