東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Development and Application of Tools...

Spurney, Ryan Joseph.

Linked to FindBook

Google Book

Amazon

博客來

Development and Application of Tools and Methods for Gene Expression Analysis and Gene Regulatory Network Inference to Address Challenges in Plant Biology.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Development and Application of Tools and Methods for Gene Expression Analysis and Gene Regulatory Network Inference to Address Challenges in Plant Biology./
Author:	Spurney, Ryan Joseph.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	63 p.
Notes:	Source: Masters Abstracts International, Volume: 81-11.
Contained By:	Masters Abstracts International81-11.
Subject:	Computer engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28004379
ISBN:	9798643183037

Development and Application of Tools and Methods for Gene Expression Analysis and Gene Regulatory Network Inference to Address Challenges in Plant Biology.
Spurney, Ryan Joseph.

Development and Application of Tools and Methods for Gene Expression Analysis and Gene Regulatory Network Inference to Address Challenges in Plant Biology. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 63 p.

Source: Masters Abstracts International, Volume: 81-11.

Thesis (M.Sc.)--North Carolina State University, 2020.

This item must not be sold to any third party vendors.

In-depth analysis of gene expression data enables the discovery of new gene causal relationships and gene functions. Specifically, gene regulatory network (GRN) inference can be used to identify the key regulatory factors and structural properties of a biological system. This thesis describes the application of gene expression analysis in plant biology. A new user-friendly software tool has been developed for use by scientists interested in utilizing gene expression data and GRN inference and has been applied to investigate specific biological questions. Further, the role of gene expression and cell-to-cell communication in the maintenance and modification of plant development has been explored via integrative application of both computational gene expression analysis and cutting-edge 3D bioprinting technology.

ISBN: 9798643183037Subjects--Topical Terms:

621879
Computer engineering.
Subjects--Index Terms:

Gene expression analysis

Development and Application of Tools and Methods for Gene Expression Analysis and Gene Regulatory Network Inference to Address Challenges in Plant Biology.
LDR:02046nmm a2200349 4500 001 2279718
005 20210823083426.5
008 220723s2020 ||||||||||||||||| ||eng d
020 $a 9798643183037
035 $a (MiAaPQ)AAI28004379
035 $a (MiAaPQ)NCState_Univ18402037333
035 $a AAI28004379
040 $a MiAaPQ $c MiAaPQ
100 1 $a Spurney, Ryan Joseph. $3 3558192
245 1 0 $a Development and Application of Tools and Methods for Gene Expression Analysis and Gene Regulatory Network Inference to Address Challenges in Plant Biology.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 63 p.
500 $a Source: Masters Abstracts International, Volume: 81-11.
500 $a Advisor: Sozzani, Ross;Williams, Cranos.
502 $a Thesis (M.Sc.)--North Carolina State University, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a In-depth analysis of gene expression data enables the discovery of new gene causal relationships and gene functions. Specifically, gene regulatory network (GRN) inference can be used to identify the key regulatory factors and structural properties of a biological system. This thesis describes the application of gene expression analysis in plant biology. A new user-friendly software tool has been developed for use by scientists interested in utilizing gene expression data and GRN inference and has been applied to investigate specific biological questions. Further, the role of gene expression and cell-to-cell communication in the maintenance and modification of plant development has been explored via integrative application of both computational gene expression analysis and cutting-edge 3D bioprinting technology.
590 $a School code: 0155.
650 4 $a Computer engineering. $3 621879
650 4 $a Plant sciences. $3 3173832
653 $a Gene expression analysis
653 $a Gene regulatory network inference
653 $a Plant biology
690 $a 0464
690 $a 0479
710 2 $a North Carolina State University. $3 1018772
773 0 $t Masters Abstracts International $g 81-11.
790 $a 0155
791 $a M.Sc.
792 $a 2020
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28004379