Explore essential statistical strategies for accurate protein quantification and differential expression analysis.

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

This repository contains the implementation of topological data analysis (TDA) methods for detecting adversarial examples in deep learning models, particularly focusing on Vision-Language models like ...

We often hear that “Who remembers the one who comes second?” The term ‘secondary’ is often associated with something less important, isn’t it? But today I tell you the importance of secondary in today ...

Here we present example workflows to perform a large scale untargeted metabolomics LC-MS/MS data preprocessing for molecular networking analysis using GNPS. The data set is described in Nothias, L.F.

A technical paper titled “GoFetch: Breaking Constant-Time Cryptographic Implementations Using Data Memory-Dependent Prefetchers” was presented at the August 2024 USENIX Security Symposium by ...

Five pitfalls to avoid by Michael Luca and Amy C. Edmondson Let’s say you’re leading a meeting about the hourly pay of your company’s warehouse employees. For several years it has automatically been ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...

The world as we know it has been transformed by AI, but perhaps no field has been more profoundly affected than analytics and data science. While traditional data science practices have paved the way ...