Computational Analysis of Flow Cytometry Data

Computational Analysis of Flow Cytometry Data

Indiana University-Purdue University Indianapolis (IUPUI) === The objective of this thesis is to compare automated methods for performing analysis of flow cytometry data. Flow cytometry is an important and efficient tool for analyzing the characteristics of cells. It is used in several fields, inclu...

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Bibliographic Details
Main Author: Irvine, Allison W.
Other Authors: Dundar, Murat
Language:en_US
Published: 2013
Subjects:
machine learning
bioinformatics
flow cytometry
Bioinformatics
Flow cytometry
Support vector machines
Supervised learning (Machine learning)
Least squares > Computer programs
Computational intelligence
Multivariate analysis
Nonlinear control theory
Functions of several complex variables
Online Access:http://hdl.handle.net/1805/3367

Internet

http://hdl.handle.net/1805/3367

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