語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Machine learning approaches to bioin...
~
World Scientific (Firm)
Machine learning approaches to bioinformatics
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Machine learning approaches to bioinformaticsZheng Rong Yang.
作者:
Yang, Zheng Rong.
出版者:
Singapore ;World Scientific Pub. Co.,c2010.
面頁冊數:
xiv, 322 p. :ill. (some col.)
標題:
Bioinformatics.
電子資源:
http://www.worldscientific.com/worldscibooks/10.1142/7454#t=toc
ISBN:
9789814287319 (electronic bk.)
Machine learning approaches to bioinformatics
Yang, Zheng Rong.
Machine learning approaches to bioinformatics
[electronic resource] /Zheng Rong Yang. - Singapore ;World Scientific Pub. Co.,c2010. - xiv, 322 p. :ill. (some col.) - Science, engineering, and biology informatics ;v. 4. - Science, engineering, and biology informatics ;v. 4..
Includes bibliographical references (p. 279-317) and index.
This book covers a wide range of subjects in applying machine learning approaches for bioinformatics projects. The book succeeds on two key unique features. First, it introduces the most widely used machine learning approaches in bioinformatics and discusses, with evaluations from real case studies, how they are used in individual bioinformatics projects. Second, it introduces state-of-the-art bioinformatics research methods. The theoretical parts and the practical parts are well integrated for readers to follow the existing procedures in individual research. Unlike most of the bioinformatics books on the market, the content coverage is not limited to just one subject. A broad spectrum of relevant topics in bioinformatics including systematic data mining and computational systems biology researches are brought together in this book, thereby offering an efficient and convenient platform for teaching purposes. An essential reference for both final year undergraduates and graduate students in universities, as well as a comprehensive handbook for new researchers, this book will also serve as a practical guide for software development in relevant bioinformatics projects.
Electronic reproduction.
Singapore :
World Scientific Publishing Co.,
2010.
System requirements: Adobe Acrobat Reader.
ISBN: 9789814287319 (electronic bk.)Subjects--Topical Terms:
194415
Bioinformatics.
LC Class. No.: QH324.25
Dewey Class. No.: 572.80285
Machine learning approaches to bioinformatics
LDR
:02280nmm a2200277 a 4500
001
345373
003
WSP
005
20100720160921.0
006
m d
007
cr cuu|||uu|||
008
121106s2010 si a sb 001 0 eng d
020
$a
9789814287319 (electronic bk.)
020
$z
981428730X
020
$z
9789814287302
035
$a
00001016
050
4
$a
QH324.25
082
0 4
$a
572.80285
$2
22
100
1
$a
Yang, Zheng Rong.
$3
347124
245
1 0
$a
Machine learning approaches to bioinformatics
$h
[electronic resource] /
$c
Zheng Rong Yang.
260
$a
Singapore ;
$a
Hackensack, N.J. :
$b
World Scientific Pub. Co.,
$c
c2010.
300
$a
xiv, 322 p. :
$b
ill. (some col.)
490
1
$a
Science, engineering, and biology informatics ;
$v
v. 4
504
$a
Includes bibliographical references (p. 279-317) and index.
520
$a
This book covers a wide range of subjects in applying machine learning approaches for bioinformatics projects. The book succeeds on two key unique features. First, it introduces the most widely used machine learning approaches in bioinformatics and discusses, with evaluations from real case studies, how they are used in individual bioinformatics projects. Second, it introduces state-of-the-art bioinformatics research methods. The theoretical parts and the practical parts are well integrated for readers to follow the existing procedures in individual research. Unlike most of the bioinformatics books on the market, the content coverage is not limited to just one subject. A broad spectrum of relevant topics in bioinformatics including systematic data mining and computational systems biology researches are brought together in this book, thereby offering an efficient and convenient platform for teaching purposes. An essential reference for both final year undergraduates and graduate students in universities, as well as a comprehensive handbook for new researchers, this book will also serve as a practical guide for software development in relevant bioinformatics projects.
533
$a
Electronic reproduction.
$b
Singapore :
$c
World Scientific Publishing Co.,
$d
2010.
$n
System requirements: Adobe Acrobat Reader.
$n
Mode of access: World Wide Web.
$n
Available to subscribing institutions.
650
0
$a
Bioinformatics.
$3
194415
650
0
$a
Machine learning.
$3
188639
650
0
$a
Bioinformatics
$3
252566
650
0
$a
Machine learning
$v
Congresses.
$3
384498
710
2
$a
World Scientific (Firm)
$3
575130
776
1
$z
981428730X
776
1
$z
9789814287302
830
0
$a
Science, engineering, and biology informatics ;
$v
v. 4.
$3
575251
856
4 0
$u
http://www.worldscientific.com/worldscibooks/10.1142/7454#t=toc
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000074774
電子館藏
1圖書
電子書
EB QH324.25 c2010
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://www.worldscientific.com/worldscibooks/10.1142/7454#t=toc
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入