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Statistical design and analysis of h...

Remlinger, Katja S.

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Statistical design and analysis of high throughput screening data using pooling experiments and data mining techniques.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistical design and analysis of high throughput screening data using pooling experiments and data mining techniques./
Author:	Remlinger, Katja S.
Description:	241 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-04, Section: B, page: 1942.
Contained By:	Dissertation Abstracts International65-04B.
Subject:	Statistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3128784
ISBN:	0496760461

Statistical design and analysis of high throughput screening data using pooling experiments and data mining techniques.
Remlinger, Katja S.

Statistical design and analysis of high throughput screening data using pooling experiments and data mining techniques. - 241 p.

Source: Dissertation Abstracts International, Volume: 65-04, Section: B, page: 1942.

Thesis (Ph.D.)--North Carolina State University, 2004.

Discovery of a new drug involves screening large chemical libraries to identify new and diverse active compounds. Only a very small percentage of the compounds in the library are active. Naive screening approaches of testing all compounds in the

ISBN: 0496760461Subjects--Topical Terms:

517247
Statistics.

Statistical design and analysis of high throughput screening data using pooling experiments and data mining techniques.
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100 1 $a Remlinger, Katja S. $3 1930590
245 1 0 $a Statistical design and analysis of high throughput screening data using pooling experiments and data mining techniques.
300 $a 241 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-04, Section: B, page: 1942.
500 $a Chairs: Jacqueline M. Hughes-Oliver; S. Stanley Young.
502 $a Thesis (Ph.D.)--North Carolina State University, 2004.
520 $a Discovery of a new drug involves screening large chemical libraries to identify new and diverse active compounds. Only a very small percentage of the compounds in the library are active. Naive screening approaches of testing all compounds in the
520 $a This work investigates pooling experiments as one possible approach of improving screening efficiency and gaining insight into the structure-activity relationships. Four different pooling designs are proposed using two design criteria, optimal c
590 $a School code: 0155.
650 4 $a Statistics. $3 517247
650 4 $a Biology, Biostatistics. $3 1018416
650 4 $a Health Sciences, Pharmacology. $3 1017717
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710 2 0 $a North Carolina State University. $3 1018772
773 0 $t Dissertation Abstracts International $g 65-04B.
790 1 0 $a Hughes-Oliver, Jacqueline M., $e advisor
790 1 0 $a Young, S. Stanley, $e advisor
790 $a 0155
791 $a Ph.D.
792 $a 2004
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