Imperial College London

DrOliverRatmann

Faculty of Natural SciencesDepartment of Mathematics

Reader in Statistics and Machine Learning for Public Good
 
 
 
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Contact

 

oliver.ratmann05 Website

 
 
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Location

 

525Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inbook{Wiuf:2009:10.1142/9781848164345_0002,
author = {Wiuf, C and Ratmann, O},
booktitle = {Statistical and Evolutionary Analysis of Biological Networks},
doi = {10.1142/9781848164345_0002},
pages = {17--43},
title = {Evolutionary analysis of protein interaction networks},
url = {http://dx.doi.org/10.1142/9781848164345_0002},
year = {2009}
}

RIS format (EndNote, RefMan)

TY  - CHAP
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.
AU - Wiuf,C
AU - Ratmann,O
DO - 10.1142/9781848164345_0002
EP - 43
PY - 2009///
SN - 9781848164338
SP - 17
TI - Evolutionary analysis of protein interaction networks
T1 - Statistical and Evolutionary Analysis of Biological Networks
UR - http://dx.doi.org/10.1142/9781848164345_0002
ER -