Data may be the fuel of artificial intelligence, but without quality annotation, even the most sophisticated algorithms fall short. Annotators are the often overlooked artisans, labelling data so AI ...

For spatial biology to deliver on its potential, foundational aspects of the spatial analysis workflow need to be executed with precision. Here, Kalins Banerjee and Evan Keller explain the importance ...

Department of Pharmaceutical Sciences, Division of Pharmaceutical Chemistry, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria Medicinal Chemistry, Research ...

There are two key things to know about the new Applied Biosystems™ SwiftArrayStudio™ Microarray Analyzer from Thermo Fisher Scientific, said Ravi Gupta, vice president and general manager of Thermo ...

This R data package provides raw microarray data from three independent lymphoma-related experiments. The data was generated using the Illumina HumanHT-12 microarray platform and comprises primary ...

After receiving his degree in Journalism & Media Communications from CSU in 2019, Erik began building his career in online media, and found his dream job when he joined Game Rant as a staff writer.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Controlled vocabularies are increasingly used by databases to describe genes and gene products because they facilitate identification of similar genes within an organism or among different organisms.

Appropriate biological interpretation of microarray data calls for relevant experimental annotation. The widely accepted MIAME guidelines provide a generic, organism-independant standard for minimal ...