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 ...
The current standard correlation coefficient used in the analysis of microarray data was introduced by M. B. Eisen, P. T. Spellman, P. O. Brown, and D. Botstein ...
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 ...
Combination of Gene Expression Data With Clinical Data Best Predicts Survival in Lung Adenocarcinoma
July 22, 2008 — A combination of molecular and clinical information provides the best indication of overall survival in patients with early-stage adenocarcinoma, according to a new study published ...
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 ...
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