Heat-maps and visualization for heterogeneous biomedical data based on information distance geometry

E. Loeliger; C.L. Nehaniv; A. J. Munro

doi:10.1007/978-3-642-28792-3_23

Heat-maps and visualization for heterogeneous biomedical data based on information distance geometry

E. Loeliger, C.L. Nehaniv, A. J. Munro

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

1 Citation (Scopus)

Abstract

Systems biology is very much concerned with gaining an overview of what is happening in complex systems, such as in biomedical data sets, for which we need good global visualization tools. This research uses a method based on information distance geometry to create visualizations analogous to heat-maps of prognostic and diagnostic variables. It illustrates the advantages of an informationally self-structuring approach to the understanding of biomedical data.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Michael A. Lones, Stephen L. Smith, Sarah Teichmann, Felix Naef, James A. Walker, Martin A. Trefzer
Place of Publication	London
Publisher	Springer Nature
Pages	183-187
ISBN (Electronic)	9783642287923
ISBN (Print)	9783642287916
DOIs	https://doi.org/10.1007/978-3-642-28792-3_23
Publication status	Published - 2012
Event	9th International Conference IPCAT 2012 - Trinity College, Cambridge, Cambridge, United Kingdom Duration: 31 Mar 2012 → 2 Apr 2012

Conference

Conference	9th International Conference IPCAT 2012
Country/Territory	United Kingdom
City	Cambridge
Period	31/03/12 → 2/04/12

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10.1007/978-3-642-28792-3_23

Cite this

Loeliger, E., Nehaniv, C. L., & Munro, A. J. (2012). Heat-maps and visualization for heterogeneous biomedical data based on information distance geometry. In M. A. Lones, S. L. Smith, S. Teichmann, F. Naef, J. A. Walker, & M. A. Trefzer (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 183-187). Springer Nature. https://doi.org/10.1007/978-3-642-28792-3_23

Loeliger, E. ; Nehaniv, C.L. ; Munro, A. J. / Heat-maps and visualization for heterogeneous biomedical data based on information distance geometry. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Michael A. Lones ; Stephen L. Smith ; Sarah Teichmann ; Felix Naef ; James A. Walker ; Martin A. Trefzer. London : Springer Nature, 2012. pp. 183-187

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title = "Heat-maps and visualization for heterogeneous biomedical data based on information distance geometry",

abstract = "Systems biology is very much concerned with gaining an overview of what is happening in complex systems, such as in biomedical data sets, for which we need good global visualization tools. This research uses a method based on information distance geometry to create visualizations analogous to heat-maps of prognostic and diagnostic variables. It illustrates the advantages of an informationally self-structuring approach to the understanding of biomedical data.",

author = "E. Loeliger and C.L. Nehaniv and Munro, {A. J.}",

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doi = "10.1007/978-3-642-28792-3_23",

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Loeliger, E, Nehaniv, CL & Munro, AJ 2012, Heat-maps and visualization for heterogeneous biomedical data based on information distance geometry. in MA Lones, SL Smith, S Teichmann, F Naef, JA Walker & MA Trefzer (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Nature, London, pp. 183-187, 9th International Conference IPCAT 2012, Cambridge, United Kingdom, 31/03/12. https://doi.org/10.1007/978-3-642-28792-3_23

Heat-maps and visualization for heterogeneous biomedical data based on information distance geometry. / Loeliger, E.; Nehaniv, C.L.; Munro, A. J.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Michael A. Lones; Stephen L. Smith; Sarah Teichmann; Felix Naef; James A. Walker; Martin A. Trefzer. London: Springer Nature, 2012. p. 183-187.

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

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T1 - Heat-maps and visualization for heterogeneous biomedical data based on information distance geometry

AU - Loeliger, E.

AU - Nehaniv, C.L.

AU - Munro, A. J.

PY - 2012

Y1 - 2012

N2 - Systems biology is very much concerned with gaining an overview of what is happening in complex systems, such as in biomedical data sets, for which we need good global visualization tools. This research uses a method based on information distance geometry to create visualizations analogous to heat-maps of prognostic and diagnostic variables. It illustrates the advantages of an informationally self-structuring approach to the understanding of biomedical data.

AB - Systems biology is very much concerned with gaining an overview of what is happening in complex systems, such as in biomedical data sets, for which we need good global visualization tools. This research uses a method based on information distance geometry to create visualizations analogous to heat-maps of prognostic and diagnostic variables. It illustrates the advantages of an informationally self-structuring approach to the understanding of biomedical data.

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SN - 9783642287916

SP - 183

EP - 187

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

A2 - Lones, Michael A.

A2 - Smith, Stephen L.

A2 - Teichmann, Sarah

A2 - Naef, Felix

A2 - Walker, James A.

A2 - Trefzer, Martin A.

PB - Springer Nature

CY - London

T2 - 9th International Conference IPCAT 2012

Y2 - 31 March 2012 through 2 April 2012

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Loeliger E, Nehaniv CL, Munro AJ. Heat-maps and visualization for heterogeneous biomedical data based on information distance geometry. In Lones MA, Smith SL, Teichmann S, Naef F, Walker JA, Trefzer MA, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). London: Springer Nature. 2012. p. 183-187 doi: 10.1007/978-3-642-28792-3_23

Heat-maps and visualization for heterogeneous biomedical data based on information distance geometry

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