Greg Finak

Summary

Affiliation: Fred Hutchinson Cancer Research Center
Country: USA

Publications

  1. pmc QUAliFiER: an automated pipeline for quality assessment of gated flow cytometry data
    Greg Finak
    Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA
    BMC Bioinformatics 13:252. 2012
  2. pmc Optimizing transformations for automated, high throughput analysis of flow cytometry data
    Greg Finak
    Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, 1100 Fariview Ave N, Seattle, WA 98109, USA
    BMC Bioinformatics 11:546. 2010
  3. pmc Mixture models for single-cell assays with applications to vaccine studies
    Greg Finak
    Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center FHCRC, Seattle, WA 98109, USA
    Biostatistics 15:87-101. 2014
  4. doi request reprint High-throughput flow cytometry data normalization for clinical trials
    Greg Finak
    Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, 98109
    Cytometry A 85:277-86. 2014
  5. pmc Data exploration, quality control and testing in single-cell qPCR-based gene expression experiments
    Andrew McDavid
    Department of Statistics, University of Washington, Seattle, WA 98195, USA
    Bioinformatics 29:461-7. 2013

Collaborators

Detail Information

Publications5

  1. pmc QUAliFiER: an automated pipeline for quality assessment of gated flow cytometry data
    Greg Finak
    Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA
    BMC Bioinformatics 13:252. 2012
    ..Gated cell populations and their statistics must be monitored within the context of the experimental run, assay, and the overall study...
  2. pmc Optimizing transformations for automated, high throughput analysis of flow cytometry data
    Greg Finak
    Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, 1100 Fariview Ave N, Seattle, WA 98109, USA
    BMC Bioinformatics 11:546. 2010
    ..By making some modelling assumptions about the transformed data, we develop maximum likelihood criteria to optimize parameter choice for these different transformations...
  3. pmc Mixture models for single-cell assays with applications to vaccine studies
    Greg Finak
    Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center FHCRC, Seattle, WA 98109, USA
    Biostatistics 15:87-101. 2014
    ....
  4. doi request reprint High-throughput flow cytometry data normalization for clinical trials
    Greg Finak
    Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, 98109
    Cytometry A 85:277-86. 2014
    ..The normalization framework allows the use of template gates even in the presence of sample-to-sample staining variability, mitigates the subjectivity and bias of manual gating, and decreases the time necessary to analyze large datasets...
  5. pmc Data exploration, quality control and testing in single-cell qPCR-based gene expression experiments
    Andrew McDavid
    Department of Statistics, University of Washington, Seattle, WA 98195, USA
    Bioinformatics 29:461-7. 2013
    ..However, few analytic tools have been developed specifically for the statistical and analytical challenges of single-cell quantitative polymerase chain reactions data...