Immunology is on the cusp of a 'big data'–driven breakthrough, but strategies for standardizing and sharing high-dimensional data from independent laboratories are needed to ensure that data support ...

Over the past decade, high-throughput gene expression experiments have generated data from millions of assays. Data sets linked to publications are stored in functional genomics data archives: ...

In microarray gene expression experiments, several diverse conditions in each experiment (e.g., time, doses, replicates) increase the data points from tens of thousands of measurements for a single ...

BOSTON--Gene expression microarrays have made a profound impact on biomedical research. The current expectation is that this technology will extend its current role as an experimental tool for basic ...

Tim Clark began by laying out recommendations about the information infrastructure required if many groups want to be able to do collective experimentation, to share data, and to exploit automated ...

Annotation involves labelling data sets to make them more valuable to human readers or machines. As a result, annotation is quickly becoming an important sub-discipline within machine learning, where ...

As a graduate student, Eric Olson learned something about DNA microarrays: Biochip data management can be vexing. His graduate adviser abandoned a number of microarray experiments because it was too ...

SAN DIEGO, Aug. 05, 2025 (GLOBE NEWSWIRE) -- Bionano Genomics, Inc. (NASDAQ: BNGO) today announced the release of the latest versions of its VIA™ and Solve™ software for genomic data analysis and ...

Autonomous vehicles rely on high-quality data annotation to train AI/ML models for safe and intelligent driving. This blog explores how sensor data from cameras, LiDAR, and radar is annotated using ...