Biological pathway analysis

Ramakanth Chirravuri Venkata; Dario Ghersi

doi:10.1016/B978-0-12-809633-8.20476-7

Biological pathway analysis

Ramakanth Chirravuri Venkata, Dario Ghersi

Biomedical Informatics

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Biological pathway analysis provides a convenient way to reduce the complexity and dimensionality of cellular circuits, and it has a wide range of biological and biomedical applications. In this article we focus on network-based approaches to analyze biological pathways, introduce some of the algorithms that have been proposed to compare and align biological pathways, and briefly discuss applications in the context of GWAS.

Original language	English (US)
Title of host publication	Encyclopedia of Bioinformatics and Computational Biology
Subtitle of host publication	ABC of Bioinformatics
Publisher	Elsevier
Pages	1067-1070
Number of pages	4
Volume	1-3
ISBN (Electronic)	9780128114322
ISBN (Print)	9780128114148
DOIs	https://doi.org/10.1016/B978-0-12-809633-8.20476-7
State	Published - Jan 1 2018

Keywords

Biological pathways
Data integration
Genome-wide association studies
Graph mining
Network alignment
Pathway alignment

ASJC Scopus subject areas

General Medicine

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10.1016/B978-0-12-809633-8.20476-7

Cite this

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title = "Biological pathway analysis",

abstract = "Biological pathway analysis provides a convenient way to reduce the complexity and dimensionality of cellular circuits, and it has a wide range of biological and biomedical applications. In this article we focus on network-based approaches to analyze biological pathways, introduce some of the algorithms that have been proposed to compare and align biological pathways, and briefly discuss applications in the context of GWAS.",

keywords = "Biological pathways, Data integration, Genome-wide association studies, Graph mining, Network alignment, Pathway alignment",

author = "Venkata, {Ramakanth Chirravuri} and Dario Ghersi",

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AU - Venkata, Ramakanth Chirravuri

AU - Ghersi, Dario

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AB - Biological pathway analysis provides a convenient way to reduce the complexity and dimensionality of cellular circuits, and it has a wide range of biological and biomedical applications. In this article we focus on network-based approaches to analyze biological pathways, introduce some of the algorithms that have been proposed to compare and align biological pathways, and briefly discuss applications in the context of GWAS.

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KW - Data integration

KW - Genome-wide association studies

KW - Graph mining

KW - Network alignment

KW - Pathway alignment

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M3 - Chapter

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SN - 9780128114148

VL - 1-3

SP - 1067

EP - 1070

BT - Encyclopedia of Bioinformatics and Computational Biology

PB - Elsevier

ER -

Biological pathway analysis

Abstract

Keywords

ASJC Scopus subject areas

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