Population Clustering for Analyzing Flow Cytometry and Other Large Data Sets

Stanford Reference:

02-215

Abstract

Applications

• Flow cytometry analysis - gating to identify subpopulations of cells
• Data analysis for:
  • Market research
  • Genomics - gene expression, functional genomics
  • Data mining
  • Financial software

Advantages

• Automated and objective - not subject to user’s interpretation and experience
• Fast - automatic gating for flow cytometry takes a fraction of a second
• Non-parametric - can reproduce nonconvex subpopulations

Publications

• Walther G, Zimmerman N, Moore W, Parks D, Meehan S, Belitskaya I, Pan J, Herzenberg L., "Automatic clustering of flow cytometry data with density-based merging." Adv Bioinformatics. 2009:686759. Epub 2009 Nov 19.

Innovators & Portfolio

• Ilana Belitskaya   
• Leonore Herzenberg   more technologies from Leonore Herzenberg »
• Wayne Moore   more technologies from Wayne Moore »
• Jinhui Pan   
• David Parks   more technologies from David Parks »
• Guenther Walther   more technologies from Guenther Walther »

Patent Status

• Published Application: 20110029519
• Published Application: 20130246434
• Issued : 8,473,215 (USA)
• Issued : 9,552,416 (USA)

Date Released

Licensing Contact

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