A global team led by Michal Holčapek, professor of analytical chemistry at the Faculty of Chemical Technology, UPCE, Pardubice (Czech Republic), and Jakub Idkowiak, a research associate from KU Leuven ...

Mass spectrometry-based lipidomics and metabolomics generate extensive data sets that, along with metadata such as clinical parameters, require specific data exploration skills to identify and ...

This repo provides a class MHP for doing basic experimentation with a Hawkes process. It works for both uni- and multivariate processes, and implements both synthetic sequence generation and parameter ...

We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes ...

Welcome to the new edition of my newsletter, Data Science Demystified! Last week, we wrapped up the data cleaning and this week we will explore Exploratory Data Analysis (EDA) which is probably the ...

Data visualization is not just an art form but a crucial tool in the modern data analyst's arsenal, offering a compelling way to present, explore, and understand large datasets. In the context of ...

Accurate prediction of postoperative recurrence is important for optimizing the treatment strategies for non-small cell lung cancer (NSCLC). Previous studies identified the PD-L1 expression in NSCLC ...

Abstract: State-of-the-art open graph visualization tools like Gephi, KeyLines, and Cytoscape are not suitable for studying street networks with thousands of roads since they do not support ...

Biologics manufacturing entails multiple complex unit operations across three key process areas: cell culture, purification, and sterile fill–finish (Figure 1). Numerous raw materials are used to ...