A rule-based framework for gene regulation pathways discovery

B. Wilczyński, T. Hvidsten, A. Kryshtafovych, L. Stubbs, J. Komorowski, K. Fidelis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a novel approach for rule discovery in the area of gene regulation. The method is based on supervised machine learning and is designed to reveal relationships between transcription factors and gene expression. As a representation of the gene regulatory circuit we have chosen a special form of the IF-THEN rules associating predefined features, taken here as a generalized idea of transcription factor binding sites in gene regulatory regions, with the corresponding gene expression profiles.

Original languageEnglish (US)
Title of host publicationProceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages435-436
Number of pages2
ISBN (Electronic)0769520006, 9780769520001
DOIs
StatePublished - Jan 1 2003
Externally publishedYes
Event2nd International IEEE Computer Society Computational Systems Bioinformatics Conference, CSB 2003 - Stanford, United States
Duration: Aug 11 2003Aug 14 2003

Publication series

NameProceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003

Other

Other2nd International IEEE Computer Society Computational Systems Bioinformatics Conference, CSB 2003
CountryUnited States
CityStanford
Period8/11/038/14/03

Fingerprint

Gene expression
Transcription factors
Genes
Binding sites
Learning systems
Networks (circuits)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

Cite this

Wilczyński, B., Hvidsten, T., Kryshtafovych, A., Stubbs, L., Komorowski, J., & Fidelis, K. (2003). A rule-based framework for gene regulation pathways discovery. In Proceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003 (pp. 435-436). [1227361] (Proceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSB.2003.1227361

A rule-based framework for gene regulation pathways discovery. / Wilczyński, B.; Hvidsten, T.; Kryshtafovych, A.; Stubbs, L.; Komorowski, J.; Fidelis, K.

Proceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003. Institute of Electrical and Electronics Engineers Inc., 2003. p. 435-436 1227361 (Proceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wilczyński, B, Hvidsten, T, Kryshtafovych, A, Stubbs, L, Komorowski, J & Fidelis, K 2003, A rule-based framework for gene regulation pathways discovery. in Proceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003., 1227361, Proceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003, Institute of Electrical and Electronics Engineers Inc., pp. 435-436, 2nd International IEEE Computer Society Computational Systems Bioinformatics Conference, CSB 2003, Stanford, United States, 8/11/03. https://doi.org/10.1109/CSB.2003.1227361
Wilczyński B, Hvidsten T, Kryshtafovych A, Stubbs L, Komorowski J, Fidelis K. A rule-based framework for gene regulation pathways discovery. In Proceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003. Institute of Electrical and Electronics Engineers Inc. 2003. p. 435-436. 1227361. (Proceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003). https://doi.org/10.1109/CSB.2003.1227361
Wilczyński, B. ; Hvidsten, T. ; Kryshtafovych, A. ; Stubbs, L. ; Komorowski, J. ; Fidelis, K. / A rule-based framework for gene regulation pathways discovery. Proceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003. Institute of Electrical and Electronics Engineers Inc., 2003. pp. 435-436 (Proceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003).
@inproceedings{8e9ae83e71a24260bd6abdf6ca15f4b4,
title = "A rule-based framework for gene regulation pathways discovery",
abstract = "We present a novel approach for rule discovery in the area of gene regulation. The method is based on supervised machine learning and is designed to reveal relationships between transcription factors and gene expression. As a representation of the gene regulatory circuit we have chosen a special form of the IF-THEN rules associating predefined features, taken here as a generalized idea of transcription factor binding sites in gene regulatory regions, with the corresponding gene expression profiles.",
author = "B. Wilczyński and T. Hvidsten and A. Kryshtafovych and L. Stubbs and J. Komorowski and K. Fidelis",
year = "2003",
month = "1",
day = "1",
doi = "10.1109/CSB.2003.1227361",
language = "English (US)",
series = "Proceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "435--436",
booktitle = "Proceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003",
address = "United States",

}

TY - GEN

T1 - A rule-based framework for gene regulation pathways discovery

AU - Wilczyński, B.

AU - Hvidsten, T.

AU - Kryshtafovych, A.

AU - Stubbs, L.

AU - Komorowski, J.

AU - Fidelis, K.

PY - 2003/1/1

Y1 - 2003/1/1

N2 - We present a novel approach for rule discovery in the area of gene regulation. The method is based on supervised machine learning and is designed to reveal relationships between transcription factors and gene expression. As a representation of the gene regulatory circuit we have chosen a special form of the IF-THEN rules associating predefined features, taken here as a generalized idea of transcription factor binding sites in gene regulatory regions, with the corresponding gene expression profiles.

AB - We present a novel approach for rule discovery in the area of gene regulation. The method is based on supervised machine learning and is designed to reveal relationships between transcription factors and gene expression. As a representation of the gene regulatory circuit we have chosen a special form of the IF-THEN rules associating predefined features, taken here as a generalized idea of transcription factor binding sites in gene regulatory regions, with the corresponding gene expression profiles.

UR - http://www.scopus.com/inward/record.url?scp=84960365277&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84960365277&partnerID=8YFLogxK

U2 - 10.1109/CSB.2003.1227361

DO - 10.1109/CSB.2003.1227361

M3 - Conference contribution

AN - SCOPUS:84960365277

T3 - Proceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003

SP - 435

EP - 436

BT - Proceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003

PB - Institute of Electrical and Electronics Engineers Inc.

ER -