語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Integrative Network Approaches to Un...
~
The University of North Carolina at Charlotte.
Integrative Network Approaches to Understanding MicroRNA and Gene Expressions in Cancer.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Integrative Network Approaches to Understanding MicroRNA and Gene Expressions in Cancer./
作者:
Hall, Benika Chenae.
面頁冊數:
1 online resource (159 pages)
附註:
Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.
Contained By:
Dissertation Abstracts International79-05B(E).
標題:
Bioinformatics. -
電子資源:
click for full text (PQDT)
ISBN:
9780355480887
Integrative Network Approaches to Understanding MicroRNA and Gene Expressions in Cancer.
Hall, Benika Chenae.
Integrative Network Approaches to Understanding MicroRNA and Gene Expressions in Cancer.
- 1 online resource (159 pages)
Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.
Thesis (Ph.D.)
Includes bibliographical references
Cancer is among the leading cause of deaths in men and women today. Regulation of gene expression by microRNAs (miRNA) has been linked to cancer progression in recent years. Therefore there has been a growing interest understanding how miRNAs mediate gene expression in cancer. In this dissertation we aimed to construct an integrative miRNA-gene network to understand how miRNAs affect gene expression and their downstream genetic neighborhoods in ovarian cancer and colon cancer. To conduct this research, we applied different techniques to determine how miRNAs impact downstream genetic neighborhoods and identify cancer enriched neighborhoods in ovarian and colon cancer. First, we developed a community based method utilizing the spin-glass model to construct an integrative miRNA-gene network. Second, we developed a label propagation framework to construct a multi-layer miRNA-gene network to exploit the downstream effects of miRNAs throughout integrating multiple networks. We identified multiple communities enriched in cancer-driven pathways across multiple networks in ovarian cancer. We also uncovered enriched genetic neighborhoods and identified key network signatures in patients with different pathological stages in colon cancer. The methods developed provide a better outlook on how miRNAs affect gene expression and their downstream genetic neighborhoods, which will improve our understanding of their role in tumorigenesis and cancer progression.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780355480887Subjects--Topical Terms:
583857
Bioinformatics.
Index Terms--Genre/Form:
554714
Electronic books.
Integrative Network Approaches to Understanding MicroRNA and Gene Expressions in Cancer.
LDR
:02801ntm a2200361Ki 4500
001
911144
005
20180517121921.5
006
m o u
007
cr mn||||a|a||
008
190606s2017 xx obm 000 0 eng d
020
$a
9780355480887
035
$a
(MiAaPQ)AAI10642074
035
$a
(MiAaPQ)uncc:11553
035
$a
AAI10642074
040
$a
MiAaPQ
$b
eng
$c
MiAaPQ
099
$a
TUL
$f
hyy
$c
available through World Wide Web
100
1
$a
Hall, Benika Chenae.
$3
1182805
245
1 0
$a
Integrative Network Approaches to Understanding MicroRNA and Gene Expressions in Cancer.
264
0
$c
2017
300
$a
1 online resource (159 pages)
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
500
$a
Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.
500
$a
Adviser: Xinghua Shi.
502
$a
Thesis (Ph.D.)
$c
The University of North Carolina at Charlotte
$d
2017.
504
$a
Includes bibliographical references
520
$a
Cancer is among the leading cause of deaths in men and women today. Regulation of gene expression by microRNAs (miRNA) has been linked to cancer progression in recent years. Therefore there has been a growing interest understanding how miRNAs mediate gene expression in cancer. In this dissertation we aimed to construct an integrative miRNA-gene network to understand how miRNAs affect gene expression and their downstream genetic neighborhoods in ovarian cancer and colon cancer. To conduct this research, we applied different techniques to determine how miRNAs impact downstream genetic neighborhoods and identify cancer enriched neighborhoods in ovarian and colon cancer. First, we developed a community based method utilizing the spin-glass model to construct an integrative miRNA-gene network. Second, we developed a label propagation framework to construct a multi-layer miRNA-gene network to exploit the downstream effects of miRNAs throughout integrating multiple networks. We identified multiple communities enriched in cancer-driven pathways across multiple networks in ovarian cancer. We also uncovered enriched genetic neighborhoods and identified key network signatures in patients with different pathological stages in colon cancer. The methods developed provide a better outlook on how miRNAs affect gene expression and their downstream genetic neighborhoods, which will improve our understanding of their role in tumorigenesis and cancer progression.
533
$a
Electronic reproduction.
$b
Ann Arbor, Mich. :
$c
ProQuest,
$d
2018
538
$a
Mode of access: World Wide Web
650
4
$a
Bioinformatics.
$3
583857
650
4
$a
Computer science.
$3
573171
650
4
$a
Health sciences.
$3
1179212
655
7
$a
Electronic books.
$2
local
$3
554714
690
$a
0715
690
$a
0984
690
$a
0566
710
2
$a
ProQuest Information and Learning Co.
$3
1178819
710
2
$a
The University of North Carolina at Charlotte.
$b
Bioinformatics.
$3
1182806
773
0
$t
Dissertation Abstracts International
$g
79-05B(E).
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10642074
$z
click for full text (PQDT)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入