東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Statistical design and analysis of h...

Remlinger, Katja S.

FindBook

Google Book

Amazon

博客來

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Statistical design and analysis of high throughput screening data using pooling experiments and data mining techniques./
作者:	Remlinger, Katja S.
面頁冊數:	241 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-04, Section: B, page: 1942.
Contained By:	Dissertation Abstracts International65-04B.
標題:	Statistics. -
電子資源:	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.
LDR:01551nmm 2200313 4500 001 1842327
005 20050916114002.5
008 130614s2004 eng d
020 $a 0496760461
035 $a (UnM)AAI3128784
035 $a AAI3128784
040 $a UnM $c UnM
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
690 $a 0463
690 $a 0308
690 $a 0419
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
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3128784