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

Search procedure for identifying gen...

Milanov, Valentin B.

FindBook

Google Book

Amazon

博客來

Search procedure for identifying gene-gene interaction based on entropy measures.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Search procedure for identifying gene-gene interaction based on entropy measures./
作者:	Milanov, Valentin B.
面頁冊數:	106 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-03, Section: B, page: 1538.
Contained By:	Dissertation Abstracts International66-03B.
標題:	Statistics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3167434
ISBN:	0542032422

Search procedure for identifying gene-gene interaction based on entropy measures.
Milanov, Valentin B.

Search procedure for identifying gene-gene interaction based on entropy measures. - 106 p.

Source: Dissertation Abstracts International, Volume: 66-03, Section: B, page: 1538.

Thesis (Ph.D.)--Michigan Technological University, 2005.

In this work we propose and study four novel search procedures for identifying susceptibility genes for complex human diseases among thousands of candidate genes genome-wide and, in particular gene-gene interaction. The proposed methods are based on a float search algorithm utilizing criterion functions based on entropy based measures of association. The search procedures utilize genotype data from a large set of independent markers under case-control design. We show, through extensive simulations and comparisons, that the proposed search procedure may have higher discovery rates than other methods for identification of gene-gene interaction currently used.

ISBN: 0542032422Subjects--Topical Terms:

517247
Statistics.

Search procedure for identifying gene-gene interaction based on entropy measures.
LDR:01562nmm 2200277 4500 001 1817508
005 20060814143906.5
008 130610s2005 eng d
020 $a 0542032422
035 $a (UnM)AAI3167434
035 $a AAI3167434
040 $a UnM $c UnM
100 1 $a Milanov, Valentin B. $3 1906861
245 1 0 $a Search procedure for identifying gene-gene interaction based on entropy measures.
300 $a 106 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-03, Section: B, page: 1538.
500 $a Adviser: Renfang Jiang.
502 $a Thesis (Ph.D.)--Michigan Technological University, 2005.
520 $a In this work we propose and study four novel search procedures for identifying susceptibility genes for complex human diseases among thousands of candidate genes genome-wide and, in particular gene-gene interaction. The proposed methods are based on a float search algorithm utilizing criterion functions based on entropy based measures of association. The search procedures utilize genotype data from a large set of independent markers under case-control design. We show, through extensive simulations and comparisons, that the proposed search procedure may have higher discovery rates than other methods for identification of gene-gene interaction currently used.
590 $a School code: 0129.
650 4 $a Statistics. $3 517247
650 4 $a Biology, Biostatistics. $3 1018416
690 $a 0463
690 $a 0308
710 2 0 $a Michigan Technological University. $3 1032921
773 0 $t Dissertation Abstracts International $g 66-03B.
790 1 0 $a Jiang, Renfang, $e advisor
790 $a 0129
791 $a Ph.D.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3167434