A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

"Reading Data" is a series on Python and machine learning for clinicians and medical researchers. We start by acquiring programming skills to build the ability to "read and interpret" your own data.

Student focused on web development and programming. I write about debugging, coding challenges, and improving skills. Your function looks right. The logic checks out. You've traced it three times on ...

ALPHABETA is a piece of software written in Python that calculates alpha and beta tilt angles of a double tilt stage in a TEM (transmission electron microscope). The tool comes with an intuitive user ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...

Microsoft Power BI does a lot of calculating internally, but when you need more, turn to Power BI quick measures—you need no knowledge of DAX. Want to Understand Machine Learning? Here's a ...

FDM is a nonlinear and nonstationary signal representation, decomposition and analysis method. It uses the Fourier and filter theory based zero-phase filtering for the decomposition of a signal into a ...