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 ...

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, ...

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

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.

Reported Data Supports the Potential Extension of HD-MAP Vaccine Delivery to Oncology Indications Recently published data generated by researchers at The University of Queensland and Vaxxas shows ...