Inferring genetic networks from microarray data

Shawn Martin; George Davidson; Elebeoba May; Jean Loup Faulon; Margaret Werner-Washburne

Inferring genetic networks from microarray data

Shawn Martin, George Davidson, Elebeoba May, Jean Loup Faulon, Margaret Werner-Washburne

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

Abstract

In theory, it should be possible to infer realistic genetic networks from time series microarray data. In practice, however, network discovery has proved problematic. The three major challenges are 1) inferring the network; 2) estimating the stability of the inferred network; and 3) making the network visually accessible to the user. Here we describe a method, tested on publicly available time series microarray data, which addresses these concerns.

Original language	English (US)
Title of host publication	Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004
Pages	566-569
Number of pages	4
State	Published - 2004
Event	Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004 - Stanford, CA, United States Duration: Aug 16 2004 → Aug 19 2004

Publication series

Name	Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004

Other

Other	Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004
Country/Territory	United States
City	Stanford, CA
Period	8/16/04 → 8/19/04

ASJC Scopus subject areas

Engineering(all)

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Inferring genetic networks from microarray data. / Martin, Shawn; Davidson, George; May, Elebeoba et al.
Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004. 2004. p. 566-569 (Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004).

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

Martin, S, Davidson, G, May, E, Faulon, JL & Werner-Washburne, M 2004, Inferring genetic networks from microarray data. in Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004. Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004, pp. 566-569, Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004, Stanford, CA, United States, 8/16/04.

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author = "Shawn Martin and George Davidson and Elebeoba May and Faulon, {Jean Loup} and Margaret Werner-Washburne",

year = "2004",

language = "English (US)",

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series = "Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004",

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note = "Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004 ; Conference date: 16-08-2004 Through 19-08-2004",

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AU - Martin, Shawn

AU - Davidson, George

AU - May, Elebeoba

AU - Faulon, Jean Loup

AU - Werner-Washburne, Margaret

PY - 2004

Y1 - 2004

N2 - In theory, it should be possible to infer realistic genetic networks from time series microarray data. In practice, however, network discovery has proved problematic. The three major challenges are 1) inferring the network; 2) estimating the stability of the inferred network; and 3) making the network visually accessible to the user. Here we describe a method, tested on publicly available time series microarray data, which addresses these concerns.

AB - In theory, it should be possible to infer realistic genetic networks from time series microarray data. In practice, however, network discovery has proved problematic. The three major challenges are 1) inferring the network; 2) estimating the stability of the inferred network; and 3) making the network visually accessible to the user. Here we describe a method, tested on publicly available time series microarray data, which addresses these concerns.

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M3 - Conference contribution

AN - SCOPUS:14044255868

SN - 0769521940

T3 - Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004

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BT - Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004

T2 - Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004

Y2 - 16 August 2004 through 19 August 2004

ER -

Inferring genetic networks from microarray data

Abstract

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Other

ASJC Scopus subject areas

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