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 ...

The field of radiomics continues to converge on a standardised approach to image processing and feature extraction. Conventional radiomics requires a segmentation. Certain features can be sensitive to ...

Ever wondered how your incredible brain effortlessly navigates the vast sea of information that bombards you every day? Picture this: You are scrolling through a whirlwind of Facebook posts and photos ...

Automatic detection of macromolecular complexes is an open and challenging problem in cellular cryoelectron tomography. Existing computational methods rely on known structural templates or manually ...

The aim of this project is to aggregate, polish, and standardise the existing clustering benchmark batteries referred to across the machine learning and data mining literature, and to introduce new ...

Code for web scraping the OSRS hiscores, along with the resulting dataset. Code for a machine learning pipeline which clusters the player population by account similarity. An interactive web ...

Haplotype identification, characterization and visualization are important for large-scale analysis and use in population genomics. Many tools have been developed to visualize haplotypes, but it is ...

Here we developed an open-source Python-based library called Python rodent Analysis and Tracking (PyRAT). Our library analyzes tracking data to classify distinct behaviors, estimate traveled distance, ...