語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
到查詢結果
[ subject:"Biomathematics." ]
切換:
標籤
|
MARC模式
|
ISBD
Biological network analysistrends, a...
~
Guzzi, Pietro Hiram, (1980-)
Biological network analysistrends, approaches, graph theory, and algorithms /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Biological network analysisPietro Hiram Guzzi, Swarup Roy.
其他題名:
trends, approaches, graph theory, and algorithms /
作者:
Guzzi, Pietro Hiram,
其他作者:
Roy, Swarup
出版者:
Cambridge, MA:Elsevier,2020.
面頁冊數:
1 online resource (189 p.) :ill.
標題:
Biomathematics.
電子資源:
https://www.sciencedirect.com/science/book/9780128193501
ISBN:
9780128193518 (electronic bk.)
Biological network analysistrends, approaches, graph theory, and algorithms /
Guzzi, Pietro Hiram,1980-
Biological network analysis
trends, approaches, graph theory, and algorithms /[electronic resource] :Pietro Hiram Guzzi, Swarup Roy. - Cambridge, MA:Elsevier,2020. - 1 online resource (189 p.) :ill.
Includes bibliographic references and index.
"Complex biological systems and their inter-relationships are represented as graphs or networks. The use of graphs to model biological aspects in computational biology, in bioinformatics and biomedicine is currently growing. Graphs enable researchers to easily model relations among objects. Currently in bioinformatics and systems biology there is a growing interest in the analysis of associations among biological molecules at a network level. A main topic of research in this area is represented by the inference and analysis of biological networks from experimental data. Often researchers aim to analyze differences of evolutions among different networks, i.e., networks representing different states of the same reality or networks coming from different species. Consequently, a wide variety of algorithms have been developed to analyze and compare networks. In particular, the comparison of networks is often performed through network alignmentalgorithms that rely on graph and subgraph isomorphisms. Biological Network Analysis considers three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN), and Human Brain Connectomes. The authors discuss various graph-theoretic and data analytics approaches used to analyze these networks with respect to tools, technologies, standards, algorithms, and databases available for generating, representing, and analyzing graphical data." -- Back cover.
ISBN: 9780128193518 (electronic bk.)Subjects--Topical Terms:
212374
Biomathematics.
LC Class. No.: QH323.5
Dewey Class. No.: 570.1/51
Biological network analysistrends, approaches, graph theory, and algorithms /
LDR
:02341cmm a2200253 a 4500
001
601322
006
m o d
007
cr |n|||||||||
008
211110s2020 maua gob 001 0 eng d
020
$a
9780128193518 (electronic bk.)
020
$a
0128193514 (electronic bk.)
020
$a
9780128193501
020
$a
0128193506
035
$a
(OCoLC)1154329026
035
$a
on1154329026
040
$a
YDX
$b
eng
$c
YDX
$d
OPELS
$d
N
$d
UKAHL
$d
MFM
$d
UKMGB
$d
OCLCF
041
0
$a
eng
050
0
$a
QH323.5
082
0 4
$a
570.1/51
$2
23
100
1
$a
Guzzi, Pietro Hiram,
$d
1980-
$e
author.
$3
896234
245
1 0
$a
Biological network analysis
$h
[electronic resource] :
$b
trends, approaches, graph theory, and algorithms /
$c
Pietro Hiram Guzzi, Swarup Roy.
260
$a
Cambridge, MA:
$b
Elsevier,
$c
2020.
300
$a
1 online resource (189 p.) :
$b
ill.
504
$a
Includes bibliographic references and index.
520
$a
"Complex biological systems and their inter-relationships are represented as graphs or networks. The use of graphs to model biological aspects in computational biology, in bioinformatics and biomedicine is currently growing. Graphs enable researchers to easily model relations among objects. Currently in bioinformatics and systems biology there is a growing interest in the analysis of associations among biological molecules at a network level. A main topic of research in this area is represented by the inference and analysis of biological networks from experimental data. Often researchers aim to analyze differences of evolutions among different networks, i.e., networks representing different states of the same reality or networks coming from different species. Consequently, a wide variety of algorithms have been developed to analyze and compare networks. In particular, the comparison of networks is often performed through network alignmentalgorithms that rely on graph and subgraph isomorphisms. Biological Network Analysis considers three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN), and Human Brain Connectomes. The authors discuss various graph-theoretic and data analytics approaches used to analyze these networks with respect to tools, technologies, standards, algorithms, and databases available for generating, representing, and analyzing graphical data." -- Back cover.
650
0
$a
Biomathematics.
$3
212374
650
0
$a
Graph theory.
$3
181880
650
7
$a
Biomathematics
$v
Congresses.
$3
468497
650
7
$a
Graph theory
$v
Atlases.
$3
434447
700
1
$a
Roy, Swarup
$c
(Computer scientist),
$e
author.
$3
896235
856
4 0
$u
https://www.sciencedirect.com/science/book/9780128193501
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
000000200578
電子館藏
1圖書
電子書
EB QH323.5 2020
一般使用(Normal)
編目處理中
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://www.sciencedirect.com/science/book/9780128193501
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