Unsupervised dense regions discovery in DNA microarray data

Andy M. Yip; Edmond H. Wu; Michael K. Ng; Tony F. Chan

doi:10.1007/978-3-540-28651-6_11

Unsupervised dense regions discovery in DNA microarray data

Andy M. Yip^*, Edmond H. Wu, Michael K. Ng, Tony F. Chan

^*Corresponding author for this work

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

Abstract

In this paper, we introduce the notion of dense regions in DNA microarray data and present algorithms for discovering them. We demonstrate that dense regions are of statistical and biological significance through experiments. A dataset containing gene expression levels of 23 primate brain samples is employed to test our algorithms. Subsets of potential genes distinguishing between species and a subset of samples with potential abnormalities are identified.

Original language	English (US)
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Zheng Rong Yang, Richard Everson, Hujun Yin
Publisher	Springer Verlag
Pages	71-77
Number of pages	7
ISBN (Print)	3540228810, 9783540228813
DOIs	https://doi.org/10.1007/978-3-540-28651-6_11
State	Published - 2004
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3177
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-28651-6_11

Cite this

Yip, A. M., Wu, E. H., Ng, M. K., & Chan, T. F. (2004). Unsupervised dense regions discovery in DNA microarray data. In Z. R. Yang, R. Everson, & H. Yin (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 71-77). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3177). Springer Verlag. https://doi.org/10.1007/978-3-540-28651-6_11

Yip, Andy M. ; Wu, Edmond H. ; Ng, Michael K. et al. / Unsupervised dense regions discovery in DNA microarray data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Zheng Rong Yang ; Richard Everson ; Hujun Yin. Springer Verlag, 2004. pp. 71-77 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Unsupervised dense regions discovery in DNA microarray data",

abstract = "In this paper, we introduce the notion of dense regions in DNA microarray data and present algorithms for discovering them. We demonstrate that dense regions are of statistical and biological significance through experiments. A dataset containing gene expression levels of 23 primate brain samples is employed to test our algorithms. Subsets of potential genes distinguishing between species and a subset of samples with potential abnormalities are identified.",

author = "Yip, {Andy M.} and Wu, {Edmond H.} and Ng, {Michael K.} and Chan, {Tony F.}",

year = "2004",

doi = "10.1007/978-3-540-28651-6_11",

language = "English (US)",

isbn = "3540228810",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "71--77",

editor = "Yang, {Zheng Rong} and Richard Everson and Hujun Yin",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

address = "Germany",

}

Yip, AM, Wu, EH, Ng, MK & Chan, TF 2004, Unsupervised dense regions discovery in DNA microarray data. in ZR Yang, R Everson & H Yin (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3177, Springer Verlag, pp. 71-77. https://doi.org/10.1007/978-3-540-28651-6_11

Unsupervised dense regions discovery in DNA microarray data. / Yip, Andy M.; Wu, Edmond H.; Ng, Michael K. et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Zheng Rong Yang; Richard Everson; Hujun Yin. Springer Verlag, 2004. p. 71-77 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3177).

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

TY - CHAP

T1 - Unsupervised dense regions discovery in DNA microarray data

AU - Yip, Andy M.

AU - Wu, Edmond H.

AU - Ng, Michael K.

AU - Chan, Tony F.

PY - 2004

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N2 - In this paper, we introduce the notion of dense regions in DNA microarray data and present algorithms for discovering them. We demonstrate that dense regions are of statistical and biological significance through experiments. A dataset containing gene expression levels of 23 primate brain samples is employed to test our algorithms. Subsets of potential genes distinguishing between species and a subset of samples with potential abnormalities are identified.

AB - In this paper, we introduce the notion of dense regions in DNA microarray data and present algorithms for discovering them. We demonstrate that dense regions are of statistical and biological significance through experiments. A dataset containing gene expression levels of 23 primate brain samples is employed to test our algorithms. Subsets of potential genes distinguishing between species and a subset of samples with potential abnormalities are identified.

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DO - 10.1007/978-3-540-28651-6_11

M3 - Chapter

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SN - 3540228810

SN - 9783540228813

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 71

EP - 77

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

A2 - Yang, Zheng Rong

A2 - Everson, Richard

A2 - Yin, Hujun

PB - Springer Verlag

ER -

Yip AM, Wu EH, Ng MK, Chan TF. Unsupervised dense regions discovery in DNA microarray data. In Yang ZR, Everson R, Yin H, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 71-77. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-28651-6_11

Unsupervised dense regions discovery in DNA microarray data

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