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 in 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, Advanced Computing Research Center, Bristol University, Bristol BS8 1TR, United Kingdom http://lara.enm.bris.ac.uk/cig/ Tel +44 (0) 117 928 9858 [EMAIL PROTECTED] ------- End of Forwarded Message
