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A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data

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A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data. / Emmert-Streib, Frank; De Matos Simoes, Ricardo; Tripathi, Shailesh; Glazko, Galina V.; Dehmer, Matthias.

In: Scientific Reports, Vol. 2, 513, 2012.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Emmert-Streib, F, De Matos Simoes, R, Tripathi, S, Glazko, GV & Dehmer, M 2012, 'A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data', Scientific Reports, vol. 2, 513. https://doi.org/10.1038/srep00513

APA

Emmert-Streib, F., De Matos Simoes, R., Tripathi, S., Glazko, G. V., & Dehmer, M. (2012). A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data. Scientific Reports, 2, [513]. https://doi.org/10.1038/srep00513

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Author

Emmert-Streib, Frank ; De Matos Simoes, Ricardo ; Tripathi, Shailesh ; Glazko, Galina V. ; Dehmer, Matthias. / A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data. In: Scientific Reports. 2012 ; Vol. 2.

Bibtex - Download

@article{4c290c2963e444958b9c0db551966198,
title = "A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data",
abstract = "In this paper, we present a Bayesian approach to estimate a chromosome and a disorder network from the Online Mendelian Inheritance in Man (OMIM) database. In contrast to other approaches, we obtain statistic rather than deterministic networks enabling a parametric control in the uncertainty of the underlying disorder-disease gene associations contained in the OMIM, on which the networks are based. From a structural investigation of the chromosome network, we identify three chromosome subgroups that reflect architectural differences in chromosome-disorder associations that are predictively exploitable for a functional analysis of diseases.",
author = "Frank Emmert-Streib and {De Matos Simoes}, Ricardo and Shailesh Tripathi and Glazko, {Galina V.} and Matthias Dehmer",
year = "2012",
doi = "10.1038/srep00513",
language = "English",
volume = "2",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data

AU - Emmert-Streib, Frank

AU - De Matos Simoes, Ricardo

AU - Tripathi, Shailesh

AU - Glazko, Galina V.

AU - Dehmer, Matthias

PY - 2012

Y1 - 2012

N2 - In this paper, we present a Bayesian approach to estimate a chromosome and a disorder network from the Online Mendelian Inheritance in Man (OMIM) database. In contrast to other approaches, we obtain statistic rather than deterministic networks enabling a parametric control in the uncertainty of the underlying disorder-disease gene associations contained in the OMIM, on which the networks are based. From a structural investigation of the chromosome network, we identify three chromosome subgroups that reflect architectural differences in chromosome-disorder associations that are predictively exploitable for a functional analysis of diseases.

AB - In this paper, we present a Bayesian approach to estimate a chromosome and a disorder network from the Online Mendelian Inheritance in Man (OMIM) database. In contrast to other approaches, we obtain statistic rather than deterministic networks enabling a parametric control in the uncertainty of the underlying disorder-disease gene associations contained in the OMIM, on which the networks are based. From a structural investigation of the chromosome network, we identify three chromosome subgroups that reflect architectural differences in chromosome-disorder associations that are predictively exploitable for a functional analysis of diseases.

UR - http://www.scopus.com/inward/record.url?scp=84864149036&partnerID=8YFLogxK

U2 - 10.1038/srep00513

DO - 10.1038/srep00513

M3 - Article

VL - 2

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 513

ER -