Summary
This text describes a research group's capabilities in immunophenotyping using spectral flow cytometry and Python-based machine learning pipelines for processing large experimental measurements, applied to pre-clinical and clinical studies.
Immunophenotyping by high-dimensional cytometry and machine learning
US · IL
NIH
grant
open
#nih-1ZIABC011807-08
What they want
Technical requirements
- spectral flow cytometry
- Python pipeline
Risks & flags
- This text does not appear to be a procurement opportunity (RFP, IFB, RFQ, or sole-source notice); it describes existing research capabilities and collaborations.
