Identifying local gene expression patterns in biomolecular networks

A. Y. Sivachenko; A. Yuryev; N. Daraselia; I. Mazo

doi:10.1109/CSBW.2005.72

Identifying local gene expression patterns in biomolecular networks

A. Y. Sivachenko, A. Yuryev, N. Daraselia, I. Mazo

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

9 Scopus citations

Abstract

This study is aimed at elucidating putative transcription regulators TRs responsible for the observed differential expression pattern. Combined direct promoter binding and indirect transcriptional regulation networks were used, and the expression levels of each TR's downstream targets were collectively analyzed, as a sample, for significance. Statistical procedure was also developed that takes into account the sign of the expression change, thus requiring the downstream targets to exhibit expression pattern consistent with the regulatory relationship effect signs.

Original language	English
Title of host publication	2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts
Pages	180-181
Number of pages	2
DOIs	https://doi.org/10.1109/CSBW.2005.72
State	Published - 2005
Externally published	Yes
Event	2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts - Stanford, CA, United States Duration: Aug 8 2005 → Aug 11 2005

Publication series

Name	2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts

Conference

Conference	2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts
Country/Territory	United States
City	Stanford, CA
Period	08/8/05 → 08/11/05

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10.1109/CSBW.2005.72

Cite this

Sivachenko, A. Y., Yuryev, A., Daraselia, N., & Mazo, I. (2005). Identifying local gene expression patterns in biomolecular networks. In 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts (pp. 180-181). Article 1540590 (2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts). https://doi.org/10.1109/CSBW.2005.72

@inproceedings{8faf3844cdb0403ca97af0fbca0cfebf,

title = "Identifying local gene expression patterns in biomolecular networks",

abstract = "This study is aimed at elucidating putative transcription regulators TRs responsible for the observed differential expression pattern. Combined direct promoter binding and indirect transcriptional regulation networks were used, and the expression levels of each TR's downstream targets were collectively analyzed, as a sample, for significance. Statistical procedure was also developed that takes into account the sign of the expression change, thus requiring the downstream targets to exhibit expression pattern consistent with the regulatory relationship effect signs.",

author = "Sivachenko, {A. Y.} and A. Yuryev and N. Daraselia and I. Mazo",

year = "2005",

doi = "10.1109/CSBW.2005.72",

language = "Ingl{\'e}s",

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series = "2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts",

pages = "180--181",

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note = "2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts ; Conference date: 08-08-2005 Through 11-08-2005",

}

Sivachenko, AY, Yuryev, A, Daraselia, N & Mazo, I 2005, Identifying local gene expression patterns in biomolecular networks. in 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts., 1540590, 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts, pp. 180-181, 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts, Stanford, CA, United States, 08/8/05. https://doi.org/10.1109/CSBW.2005.72

Identifying local gene expression patterns in biomolecular networks. / Sivachenko, A. Y.; Yuryev, A.; Daraselia, N. et al.
2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts. 2005. p. 180-181 1540590 (2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts).

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

TY - GEN

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AU - Yuryev, A.

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AB - This study is aimed at elucidating putative transcription regulators TRs responsible for the observed differential expression pattern. Combined direct promoter binding and indirect transcriptional regulation networks were used, and the expression levels of each TR's downstream targets were collectively analyzed, as a sample, for significance. Statistical procedure was also developed that takes into account the sign of the expression change, thus requiring the downstream targets to exhibit expression pattern consistent with the regulatory relationship effect signs.

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Y2 - 8 August 2005 through 11 August 2005

ER -

Identifying local gene expression patterns in biomolecular networks

Abstract

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Conference

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