October 4, 2016  |  Announcements, CITRUS, Cytobank, Release Notes

Fresh Squeezed News: Introducing CITRUS

Automatically Identify Predictive Biomarkers with Our Newest Algorithm

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Why do some cancer patients respond well to immunotherapy but others do not?

Why do some people have a slow and painful recovery from surgery but others have a speedy recovery?

What are the biomarkers that can help predict these outcomes ahead of time?  

The Challenge:
High-dimensional single-cell analysis approaches are excellent for investigating such questions because many mechanisms of disease may only be visible at the single-cell level, eluding bulk analysis techniques. Emerging technologies such as high parameter fluorescence and mass cytometry, and powerful data analysis platforms like Cytobank, are providing unprecedented resolution for measuring single-cell biology. With these new technologies, a variety of specific cellular populations can be simultaneously identified, and anomalies can define different clinically relevant cohorts and serve as predictive diagnostics and prognostics.

The challenge of going from high-dimensional data to these useful findings lies in the analysis, which is often cumbersome, manual, subjective, and irreproducible. Our new version of the CITRUS algorithm aims to change that. More »