@article{DaubSteuerSelbigetal.2004, author = {Daub, Carsten O. and Steuer, Ralf and Selbig, Joachim and Kloska, Sebastian}, title = {Estimating mutual information using B-spline functions : an improved similarity measure for analysing gene expression data}, issn = {1471-2105}, year = {2004}, abstract = {Background: The information theoretic concept of mutual information provides a general framework to evaluate dependencies between variables. In the context of the clustering of genes with similar patterns of expression it has been suggested as a general quantity of similarity to extend commonly used linear measures. Since mutual information is defined in terms of discrete variables, its application to continuous data requires the use of binning procedures, which can lead to significant numerical errors for datasets of small or moderate size. Results: In this work, we propose a method for the numerical estimation of mutual information from continuous data. We investigate the characteristic properties arising from the application of our algorithm and show that our approach outperforms commonly used algorithms: The significance, as a measure of the power of distinction from random correlation, is significantly increased. This concept is subsequently illustrated on two large-scale gene expression datasets and the results are compared to those obtained using other similarity measures. A C++ source code of our algorithm is available for non- commercial use from kloska@scienion.de upon request. Conclusion: The utilisation of mutual information as similarity measure enables the detection of non-linear correlations in gene expression datasets. Frequently applied linear correlation measures, which are often used on an ad-hoc basis without further justification, are thereby extended}, language = {en} } @article{AltmannUdvardiEssigmannetal.2002, author = {Altmann, Thomas and Udvardi, M. K. and Essigmann, B. and Colebatch, G. and Kloska, Sebastian and Smith, P. and Trevaskis, B.}, title = {Lotus japonicus functional genomics : cDNA microarray analysis uncovers novel nodulins}, isbn = {0-85199-591-8}, year = {2002}, language = {en} } @article{AltmannThimmEssigmannetal.2001, author = {Altmann, Thomas and Thimm, O. and Essigmann, B. and Kloska, Sebastian and Buckhout, Thomas J.}, title = {Response of arabidopsis to iron deficiency stress as revealed by microarray analysis}, year = {2001}, language = {en} } @article{AltmannFiehnKloska2001, author = {Altmann, Thomas and Fiehn, Oliver and Kloska, Sebastian}, title = {Integrated studies on plant biology using multiparallel techniques}, year = {2001}, language = {en} } @article{AltmannColebatchKloskaetal.2002, author = {Altmann, Thomas and Colebatch, G. and Kloska, Sebastian and Trevaskis, B. and Freund, S. and Udvardi, M. K.}, title = {Novel aspects of symbiotic nitrogen fixation uncovered by transcript profiling with cDNA arrays}, year = {2002}, language = {en} } @article{AltmannBrandtKloskaetal.2002, author = {Altmann, Thomas and Brandt, Stephan Peter and Kloska, Sebastian and Kehr, Julia}, title = {Using array hybridization to monitore gene expression at the single cell level}, year = {2002}, language = {en} }