Systems medicine: The next generation of computer-assisted precision medicine

Jan Baumbach

doi:10.1007/978-3-662-56537-7_1

Systems medicine: The next generation of computer-assisted precision medicine

Jan Baumbach

Lehrstuhl für Experimentelle Bioinformatik

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Abstract

Recent advances in modern OMICS technology allow measuring the expression of all kinds of biological entities (genes, proteins, metabolites, miRNAs, etc.) at low cost and in high-throughput. Computational challenges for analyzing such big data emerge, ranging from the low signal to noise ratio to high model complexity, which render simple statistical questions arbitrarily complicated.We will discuss several bioinformatics tools for de-isolating biological networks and multiple OMICS data types: de novo pathway enrichment, in vitro high-throughput screening (HTS) data integration, time-course network enrichment, cancer subtyping, and breath analysis.

Originalsprache	Englisch
Titel	Informatik aktuell
Redakteure/-innen	Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff
Herausgeber (Verlag)	Springer Science and Business Media Deutschland GmbH
Seiten	1
Seitenumfang	1
ISBN (Print)	9783540295945, 9783540748366, 9783540853237, 9783642246579, 9783642337062, 9783642413087, 9783662451083, 9783662557846, 9783662565360, 9783662580950
DOIs	https://doi.org/10.1007/978-3-662-56537-7_1
Publikationsstatus	Veröffentlicht - 2018
Veranstaltung	Workshop on Bildverarbeitung fur die Medizin, 2018 - Erlangen, Deutschland Dauer: 11 März 2018 → 13 März 2018

Publikationsreihe

Name	Informatik aktuell
Band	0
ISSN (Print)	1431-472X

Konferenz

Konferenz	Workshop on Bildverarbeitung fur die Medizin, 2018
Land/Gebiet	Deutschland
Ort	Erlangen
Zeitraum	11/03/18 → 13/03/18

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10.1007/978-3-662-56537-7_1

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title = "Systems medicine: The next generation of computer-assisted precision medicine",

abstract = "Recent advances in modern OMICS technology allow measuring the expression of all kinds of biological entities (genes, proteins, metabolites, miRNAs, etc.) at low cost and in high-throughput. Computational challenges for analyzing such big data emerge, ranging from the low signal to noise ratio to high model complexity, which render simple statistical questions arbitrarily complicated.We will discuss several bioinformatics tools for de-isolating biological networks and multiple OMICS data types: de novo pathway enrichment, in vitro high-throughput screening (HTS) data integration, time-course network enrichment, cancer subtyping, and breath analysis.",

author = "Jan Baumbach",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag GmbH Deutschland 2018.; Workshop on Bildverarbeitung fur die Medizin, 2018 ; Conference date: 11-03-2018 Through 13-03-2018",

year = "2018",

doi = "10.1007/978-3-662-56537-7_1",

language = "English",

isbn = "9783540295945",

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publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "1",

editor = "Andreas Maier and Deserno, {Thomas M.} and Heinz Handels and Maier-Hein, {Klaus H.} and Christoph Palm and Thomas Tolxdorff",

booktitle = "Informatik aktuell",

}

Baumbach, J 2018, Systems medicine: The next generation of computer-assisted precision medicine. in A Maier, TM Deserno, H Handels, KH Maier-Hein, C Palm & T Tolxdorff (Hrsg.), Informatik aktuell. Informatik aktuell, Bd. 0, Springer Science and Business Media Deutschland GmbH, S. 1, Workshop on Bildverarbeitung fur die Medizin, 2018, Erlangen, Deutschland, 11/03/18. https://doi.org/10.1007/978-3-662-56537-7_1

Systems medicine: The next generation of computer-assisted precision medicine. / Baumbach, Jan.
Informatik aktuell. Hrsg. / Andreas Maier; Thomas M. Deserno; Heinz Handels; Klaus H. Maier-Hein; Christoph Palm; Thomas Tolxdorff. Springer Science and Business Media Deutschland GmbH, 2018. S. 1 (Informatik aktuell; Band 0).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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N2 - Recent advances in modern OMICS technology allow measuring the expression of all kinds of biological entities (genes, proteins, metabolites, miRNAs, etc.) at low cost and in high-throughput. Computational challenges for analyzing such big data emerge, ranging from the low signal to noise ratio to high model complexity, which render simple statistical questions arbitrarily complicated.We will discuss several bioinformatics tools for de-isolating biological networks and multiple OMICS data types: de novo pathway enrichment, in vitro high-throughput screening (HTS) data integration, time-course network enrichment, cancer subtyping, and breath analysis.

AB - Recent advances in modern OMICS technology allow measuring the expression of all kinds of biological entities (genes, proteins, metabolites, miRNAs, etc.) at low cost and in high-throughput. Computational challenges for analyzing such big data emerge, ranging from the low signal to noise ratio to high model complexity, which render simple statistical questions arbitrarily complicated.We will discuss several bioinformatics tools for de-isolating biological networks and multiple OMICS data types: de novo pathway enrichment, in vitro high-throughput screening (HTS) data integration, time-course network enrichment, cancer subtyping, and breath analysis.

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SN - 9783540853237

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SN - 9783642413087

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SN - 9783662580950

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PB - Springer Science and Business Media Deutschland GmbH

Y2 - 11 March 2018 through 13 March 2018

ER -

Systems medicine: The next generation of computer-assisted precision medicine

Abstract

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Konferenz

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