A Bayesian decoder was employed to calculate the posterior probabilities of all position bins. This method assumes that transient counts follow a Poisson distribution and combines transient counts and ...

This paper presents ZacrosTools, a free and open-source Python library designed to simplify and automate the preparation and analysis of kinetic Monte Carlo (KMC) simulations with the widely used ...

These estimates, drawn from the location data of three billion Facebook users, provide a view of human migration in extraordinary detail.

This workshop by JHU Data Services serves as an introduction to using Python’s data visualization tools and techniques. In this hands-on session, we’ll cover design concepts of data visualization and ...

Mass spectrometry data visualization is essential for a wide range of applications, such as validation of workflows and results, benchmarking new algorithms, and creating comprehensive quality control ...

Data Visualization in Python with Dash This is the repository for the LinkedIn Learning course Data Visualization in Python with Dash. The full course is available from LinkedIn Learning. See the ...

You've cleaned and analyzed your data, now learn how to visualize it using Python's data visualization tools and techniques. Visualizing data is critical for both understanding the meaning and ...

This finding suggests that a hierarchical (multilevel) model is appropriate for analyzing the data. Specifically, the intra-community and intra-country correlation coefficients in the null model ...