Machine learning has become instrumental in the world of algorithmic trading strategies, utilizing numerical, categorical, and ordinal data to build simplified models of the real world. This article ...
OpenPulse is a software written in Python for numerical modelling of low-frequency acoustically induced vibration in gas pipeline systems. It allows to create or/and import the geometry of the pipe ...
Keizo Asami Institute, iLIKA, Federal University of Pernambuco, Recife, Pernambuco 50670-901, Brazil Graduate Program in Biology Applied to Health, PPGBAS, Federal University of Pernambuco, Recife, ...
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 ...
This project is a sophisticated Python-based data analysis tool designed to detect potential fraud in Paycheck Protection Program (PPP) loan data, focusing on a large 8.4GB CSV dataset. It employs a ...
Static testing is a software testing method that examines a program -- along with any associated documents -- but does not require the program to be executed. Dynamic testing, the other main category ...
The Hi-C technique has been shown to be a promising method to detect structural variations (SVs) in human genomes. However, algorithms that can use Hi-C data for a full-range SV detection have been ...
The TOM complex plays a central role in translocation of proteins synthesized in cytosol into the mitochondria. As the receptor components of the TOM complex, Tom20, Tom22, and Tom70 play pivotal ...
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