Data Analysis Through Modeling

C. Bruce Bagwell1

1 Verity Software House, Topsham, Maine
Publication Name:  Current Protocols in Cytometry
Unit Number:  Unit 10.7
DOI:  10.1002/0471142956.cy1007s01
Online Posting Date:  May, 2001
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Abstract

Flow cytometers collect data in an attempt to understand some aspect of a biological system. Mathematical models are developed to extract relevant population features from the data, to help users attain their goals. This unit examines what models are and how they are routinely used. Keywords: flow cytometry; listmode data; data analysis; modeling Flow cytometers collect data in an attempt to understand some aspect of a biological system

     
 
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Table of Contents

  • A Modeling Story
  • Least‐Squares Analysis
  • Specific Models for Cytometry
  • Steps in Creating a Model
  • Literature Cited
  • Figures
     
 
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Materials

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Figures

Videos

Literature Cited

Literature Cited
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   Bagwell, C.B. 1981a. PARA2 Program. Coulter Cytometry, Hialeah, Fla.
   Bagwell, C.B. 1981b. IMMUNO program, EASY2 Software. Coulter Cytometry, Hialeah, Fla.
   Bagwell, C.B. 1993. Theoretical aspects of flow cytometry data analysis. In Clinical Flow Cytometry (K.D. Bauer, R.E. Duque, T.V. Shankey, eds.) pp. 41‐61. Williams & Wilkins, Baltimore.
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   Shankey, T.V., Rabinovitch, P.S., Bagwell, B., Bauer, K.D., Duque, R.E., Hedley, D.W., Mayall, B.H., and Wheeless, L. 1993. Guidelines for implementation of clinical DNA cytometry. Cytometry 14:472‐477.
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