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Computational Methods for Comparativ...

Frelinger, Jacob.

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Computational Methods for Comparative Analysis of Rare Cell Subsets in Flow Cytometry.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computational Methods for Comparative Analysis of Rare Cell Subsets in Flow Cytometry./
作者:	Frelinger, Jacob.
面頁冊數:	100 p.
附註:	Source: Dissertation Abstracts International, Volume: 75-02(E), Section: B.
Contained By:	Dissertation Abstracts International75-02B(E).
標題:	Biology, Bioinformatics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3601327
ISBN:	9781303522369

Computational Methods for Comparative Analysis of Rare Cell Subsets in Flow Cytometry.
Frelinger, Jacob.

Computational Methods for Comparative Analysis of Rare Cell Subsets in Flow Cytometry. - 100 p.

Source: Dissertation Abstracts International, Volume: 75-02(E), Section: B.

Thesis (Ph.D.)--Duke University, 2013.

Automated analysis techniques for flow cytometry data can address many of the limitations of manual analysis by providing an objective approach for the identification of cellular subsets. While automated analysis has the potential to significantly improve automated analysis, challenges remain for automated methods in cross sample analysis for large scale studies. This thesis presents new methods for data normalization, sample enrichment for rare events of interest, and cell subset relabeling. These methods build upon and extend the use of Gaussian mixture models in automated flow cytometry analysis to enable practical large scale cell subset identification.

ISBN: 9781303522369Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Computational Methods for Comparative Analysis of Rare Cell Subsets in Flow Cytometry.
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