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

Chair of Experimental Bioinformatics

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

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.

Original language	English
Title of host publication	Informatik aktuell
Editors	Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	1
Number of pages	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
State	Published - 2018
Event	Workshop on Bildverarbeitung fur die Medizin, 2018 - Erlangen, Germany Duration: 11 Mar 2018 → 13 Mar 2018

Publication series

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

Conference

Conference	Workshop on Bildverarbeitung fur die Medizin, 2018
Country/Territory	Germany
City	Erlangen
Period	11/03/18 → 13/03/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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

Cite this

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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",

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

language = "English",

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booktitle = "Informatik aktuell",

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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 (eds), Informatik aktuell. Informatik aktuell, vol. 0, Springer Science and Business Media Deutschland GmbH, pp. 1, Workshop on Bildverarbeitung fur die Medizin, 2018, Erlangen, Germany, 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. ed. / Andreas Maier; Thomas M. Deserno; Heinz Handels; Klaus H. Maier-Hein; Christoph Palm; Thomas Tolxdorff. Springer Science and Business Media Deutschland GmbH, 2018. p. 1 (Informatik aktuell; Vol. 0).

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

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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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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

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