CFP: Bioinformatics Special Section/Analysis of Microarray Data

[Colin Campbell, Engineering Mathematics]

The following may be of interest:

Special Section of the Journal Bioinformatics on:
Analysis of Microarray Data
 
Organisers: 
Colin Campbell (University of Bristol) and 
Shayan Mukherjee (MIT) 

Microarray technology is rapidly accelerating progress 
in many areas of biomedical research. For the first time 
this technology gives a global view of the expression level of 
thousands of genes. This Special Section of Bioinformatics 
will focus on new algorithmic or theoretical techniques for 
analyzing such datasets. 

This Special Section was announced at the NIPS2001 Workshop 
on Machine Learning Techniques for Bioinformatics held at 
the Whistler Resort, British Columbia, Canada on December, 2001. 
Analysis of microarray data frequently utilizes machine learning 
techniques such as cluster analysis, classification, feature 
selection, regression, sample complexity, determination of 
network structures and feature dependencies, for example. 
However, we also welcome papers from researchers interested 
in analytical methods beyond machine learning (e.g. statistics) 
which may include techniques for evaluating the effect of noise, 
imputing missing values, discovering outliers, scoring features, 
etc. We welcome case studies in which the techniques described 
above are applied to new datasets, illustrating practical problems 
and the successful use of these methods. 

Further details can be found at:

http://lara.enm.bris.ac.uk/cig/nips01/bioss.htm

The deadline for submissions is *** 30th April 2002 ***.

--------------------------------------------
Dr. Colin Campbell, 
Dept. of Engineering Mathematics,
Bristol University, Bristol BS8 1TR,
United Kingdom
http://lara.enm.bris.ac.uk/cig/
Tel +44 (0) 117 928 9858
C.Campbell at bristol.ac.uk