Computational biomarker discovery

Fan Zhang; Xiaogang Wu; Jake Y. Chen

doi:10.1007/978-3-642-41281-3_13

Computational biomarker discovery

Fan Zhang, Xiaogang Wu, Jake Y. Chen

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Abstract

The advent of omics technologies as genomics and proteomics has brought the hope of discovering novel biomarkers that can be used to diagnose, predict, and monitor progress of disease. The importance of computational biomarker discovery for diagnostic classification and prognostic assessment in the context of microarray and proteomic data has been increasingly recognized. We present an overview of computational methods and their applications to biomarker discovery with particular focus on genomics and proteomics data. One case study is exemplarily presented, and relevant computational biomarker discovery terminology and techniques are explained.

Original language	English
Title of host publication	Approaches in Integrative Bioinformatics
Subtitle of host publication	Towards the Virtual Cell
Publisher	Springer Berlin Heidelberg
Pages	355-386
Number of pages	32
ISBN (Electronic)	9783642412813
ISBN (Print)	9783642412806
DOIs	https://doi.org/10.1007/978-3-642-41281-3_13
State	Published - 1 Jan 2014

Keywords

Biomarker discovery
Breast cancer
Data mining

Access to Document

10.1007/978-3-642-41281-3_13

Cite this

@inbook{ee6885fdbf604633acf1c2b77dfa4208,

title = "Computational biomarker discovery",

abstract = "The advent of omics technologies as genomics and proteomics has brought the hope of discovering novel biomarkers that can be used to diagnose, predict, and monitor progress of disease. The importance of computational biomarker discovery for diagnostic classification and prognostic assessment in the context of microarray and proteomic data has been increasingly recognized. We present an overview of computational methods and their applications to biomarker discovery with particular focus on genomics and proteomics data. One case study is exemplarily presented, and relevant computational biomarker discovery terminology and techniques are explained.",

keywords = "Biomarker discovery, Breast cancer, Data mining",

author = "Fan Zhang and Xiaogang Wu and Chen, {Jake Y.}",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2014.",

year = "2014",

month = jan,

day = "1",

doi = "10.1007/978-3-642-41281-3_13",

language = "English",

isbn = "9783642412806",

pages = "355--386",

booktitle = "Approaches in Integrative Bioinformatics",

publisher = "Springer Berlin Heidelberg",

}

TY - CHAP

T1 - Computational biomarker discovery

AU - Zhang, Fan

AU - Wu, Xiaogang

AU - Chen, Jake Y.

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2014.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - The advent of omics technologies as genomics and proteomics has brought the hope of discovering novel biomarkers that can be used to diagnose, predict, and monitor progress of disease. The importance of computational biomarker discovery for diagnostic classification and prognostic assessment in the context of microarray and proteomic data has been increasingly recognized. We present an overview of computational methods and their applications to biomarker discovery with particular focus on genomics and proteomics data. One case study is exemplarily presented, and relevant computational biomarker discovery terminology and techniques are explained.

AB - The advent of omics technologies as genomics and proteomics has brought the hope of discovering novel biomarkers that can be used to diagnose, predict, and monitor progress of disease. The importance of computational biomarker discovery for diagnostic classification and prognostic assessment in the context of microarray and proteomic data has been increasingly recognized. We present an overview of computational methods and their applications to biomarker discovery with particular focus on genomics and proteomics data. One case study is exemplarily presented, and relevant computational biomarker discovery terminology and techniques are explained.

KW - Biomarker discovery

KW - Breast cancer

KW - Data mining

UR - http://www.scopus.com/inward/record.url?scp=84956610387&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-41281-3_13

DO - 10.1007/978-3-642-41281-3_13

M3 - Chapter

AN - SCOPUS:84956610387

SN - 9783642412806

SP - 355

EP - 386

BT - Approaches in Integrative Bioinformatics

PB - Springer Berlin Heidelberg

ER -

Computational biomarker discovery

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this