As I noted in a recent post on reproducing data projects, notebooks have become popular tools for maintaining, sharing, and replicating long data science workflows. Much of that is due to the ...

Flow cytometry is broadly used in biomedicine, which is exemplified by identification of protein marker expressions 1,2,3,4,5,6, determinations of cell-fate and cell cycle progression 7, analysis of ...

RNAi screens are widely used in functional genomics. Although the screen data can be susceptible to a number of experimental biases, many of these can be corrected by computational analysis. For this ...

See our top data 8 visualization tools, including Tableau, Power BI and Google Looker, learn why we selected each and understand how to determine the best visualization tool. Data visualization tools ...

Self-driving vehicles rely closely on interactions with humans, vehicles, and the surrounding environment. However, the interactive analysis of self-driving is impacted by multiple perception sources, ...

In today's fast-paced and ever-evolving landscape of clinical trials, the ability to efficiently analyze and visualize data has become paramount. The vast amounts of data generated from these trials ...

MOUNTAIN VIEW, Calif. & NEW YORK--(BUSINESS WIRE)--DNAnexus, Inc., provider of the leading enterprise platform for precision health data, and Panomics, Inc., provider of AI-powered omics data ...

OpenAI just announced new changes to ChatGPT's data analysis feature. Users can now create customizable, interactive tables and charts with the AI chatbot's help that they can later download for ...

As GPU-accelerated databases bring new levels of performance and precision to time-series and spatial workloads, generative AI puts complex analysis within reach of non-experts. Spatiotemporal data, ...

Dhruv Madeka, a quantitative researcher at Bloomberg, describes the open source library D3 (or D3.js), which is used to make interactive data visualizations, as “awesome.” But for many would-be fans, ...