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Integrative Pathway Analysis Pipelin...

Diaz, Diana.

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Integrative Pathway Analysis Pipeline for miRNA and mRNA Data.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Integrative Pathway Analysis Pipeline for miRNA and mRNA Data./
Author:	Diaz, Diana.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	109 p.
Notes:	Source: Masters Abstracts International, Volume: 56-04.
Contained By:	Masters Abstracts International56-04(E).
Subject:	Computer science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10270029
ISBN:	9781369824025

Integrative Pathway Analysis Pipeline for miRNA and mRNA Data.
Diaz, Diana.

Integrative Pathway Analysis Pipeline for miRNA and mRNA Data. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 109 p.

Source: Masters Abstracts International, Volume: 56-04.

Thesis (M.S.)--Wayne State University, 2017.

The identification of pathways that are involved in a particular phenotype helps us understand the underlying biological processes. Traditional pathway analysis techniques aim to infer the impact on individual pathways using only mRNA levels. However, recent studies showed that gene expression alone is unable to capture the whole picture of biological phenomena. At the same time, MicroRNAs (miRNAs) are newly discovered gene regulators that have shown to play an important role in diagnosis, and prognosis for different types of diseases. Current pathway analysis techniques do not take miRNAs into consideration. In this project, we investigate the effect of integrating miRNA and mRNA expression in pathway analysis.

ISBN: 9781369824025Subjects--Topical Terms:

523869
Computer science.

Integrative Pathway Analysis Pipeline for miRNA and mRNA Data.
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245 1 0 $a Integrative Pathway Analysis Pipeline for miRNA and mRNA Data.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 109 p.
500 $a Source: Masters Abstracts International, Volume: 56-04.
500 $a Adviser: Sorin Draghici.
502 $a Thesis (M.S.)--Wayne State University, 2017.
520 $a The identification of pathways that are involved in a particular phenotype helps us understand the underlying biological processes. Traditional pathway analysis techniques aim to infer the impact on individual pathways using only mRNA levels. However, recent studies showed that gene expression alone is unable to capture the whole picture of biological phenomena. At the same time, MicroRNAs (miRNAs) are newly discovered gene regulators that have shown to play an important role in diagnosis, and prognosis for different types of diseases. Current pathway analysis techniques do not take miRNAs into consideration. In this project, we investigate the effect of integrating miRNA and mRNA expression in pathway analysis.
520 $a In order to analyze biological pathways using miRNA expression data, we developed a novel method that augments KEGG pathways with microRNAs targeting genes. To validate our method, we analyzed nine GEO datasets. We also performed the analyses using just mRNA as well as using the integrative state-of-the-art method (microGraphite) to compare the results. In each case, we monitored the position of the pathway describing the given condition. We observed that our method outperforms the state-of-the-art approach.
590 $a School code: 0254.
650 4 $a Computer science. $3 523869
650 4 $a Biostatistics. $3 1002712
650 4 $a Computer engineering. $3 621879
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