Titlebook: Bioinformatics Using Computational Intelligence Paradigms; Udo Seiffert,Lakhmi C. Jain,Patric Schweizer Book 2005 Springer-Verlag Berlin H

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Markus Oestreich,Oliver Rombergnt response to treatments, can manifest themselves with undistinguishable appearances, not only at morphological inspection, but also from the immunophenotyping, biochemical, and cytogenetic profiles.

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Discriminative Clustering of Yeast Stress Response,n2p and Msn4p transcription factor pair. We have extended the study by in silico data mining using a new supervised discriminative clustering (DC) technique, which directly searches for responses potentially regulated by the Msn2/4p factors. We observed a cluster of CESR/CER genes, comparable to tho

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BRIDE

Medical Bioinformatics: Detecting Molecular Diseases with Case-Based Reasoning,A catalytic element of this process is that the methods of molecular biology (DNA sequencing, proteomics etc.) allow the automated generation of data from cellular components. Based on this technology, robots are able to sequence small genomes in a few weeks. Moreover, the semi-automatic assembly an

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Prototype Based Recognition of Splice Sites,egions in eukaryotic DNA. The availability of large amounts of sequenced DNA makes the development of fast and reliable tools for automatic identi.cation of important functional regions of DNA necessary. We present a prototype based pattern recognition tool trained for automatic donor and acceptor r

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Content Based Image Compression in Biomedical High-Throughput Screening Using Artificial Neural Netimages of one specific experiment the time factor is often rather secondary, and other features like lossless compression and a high compression ratio are much more important. Due to the similarity of all images within one experiment series, a content based compression seems to be especially applica