Evolutionary analysis of protein interaction networks

Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt

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Evolutionary analysis of protein interaction networks. / Wiuf, Carsten; Ratmann, Oliver.

Statistical and Evolutionary Analysis of Biological Networks. Imperial College Press, 2009. s. 17-43.

Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt

Harvard

Wiuf, C & Ratmann, O 2009, Evolutionary analysis of protein interaction networks. i Statistical and Evolutionary Analysis of Biological Networks. Imperial College Press, s. 17-43. https://doi.org/10.1142/9781848164345_0002

APA

Wiuf, C., & Ratmann, O. (2009). Evolutionary analysis of protein interaction networks. I Statistical and Evolutionary Analysis of Biological Networks (s. 17-43). Imperial College Press. https://doi.org/10.1142/9781848164345_0002

Vancouver

Wiuf C, Ratmann O. Evolutionary analysis of protein interaction networks. I Statistical and Evolutionary Analysis of Biological Networks. Imperial College Press. 2009. s. 17-43 https://doi.org/10.1142/9781848164345_0002

Author

Wiuf, Carsten ; Ratmann, Oliver. / Evolutionary analysis of protein interaction networks. Statistical and Evolutionary Analysis of Biological Networks. Imperial College Press, 2009. s. 17-43

Bibtex

@inbook{1c19b7f072704186beda9959b521710a,
title = "Evolutionary analysis of protein interaction networks",
abstract = "Systems approaches to understanding the structure, organisation and functioning of organisms and cells are now becoming commonplace. In this chapter we focus on protein interaction networks and their potential use for inference on the evolutionary processes that have shaped the interactome, the collection of all proteins in a cell together with their physical interactions. We demonstrate that simple mathematical models may capture essential aspects of the processes and use these to develop a Bayesian likelihood-free scheme for inference on three small organisms T. pallidum, H. pylori and P. falciparum.",
author = "Carsten Wiuf and Oliver Ratmann",
year = "2009",
month = jan,
day = "1",
doi = "10.1142/9781848164345_0002",
language = "English",
isbn = "9781848164338",
pages = "17--43",
booktitle = "Statistical and Evolutionary Analysis of Biological Networks",
publisher = "Imperial College Press",

}

RIS

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T1 - Evolutionary analysis of protein interaction networks

AU - Wiuf, Carsten

AU - Ratmann, Oliver

PY - 2009/1/1

Y1 - 2009/1/1

N2 - Systems approaches to understanding the structure, organisation and functioning of organisms and cells are now becoming commonplace. In this chapter we focus on protein interaction networks and their potential use for inference on the evolutionary processes that have shaped the interactome, the collection of all proteins in a cell together with their physical interactions. We demonstrate that simple mathematical models may capture essential aspects of the processes and use these to develop a Bayesian likelihood-free scheme for inference on three small organisms T. pallidum, H. pylori and P. falciparum.

AB - Systems approaches to understanding the structure, organisation and functioning of organisms and cells are now becoming commonplace. In this chapter we focus on protein interaction networks and their potential use for inference on the evolutionary processes that have shaped the interactome, the collection of all proteins in a cell together with their physical interactions. We demonstrate that simple mathematical models may capture essential aspects of the processes and use these to develop a Bayesian likelihood-free scheme for inference on three small organisms T. pallidum, H. pylori and P. falciparum.

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U2 - 10.1142/9781848164345_0002

DO - 10.1142/9781848164345_0002

M3 - Book chapter

AN - SCOPUS:78149365035

SN - 9781848164338

SP - 17

EP - 43

BT - Statistical and Evolutionary Analysis of Biological Networks

PB - Imperial College Press

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