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| Ulrich Bodenhofer; Andreas Kothmeier; Ingrid G. Abfalter; Carsten C. Mahrenholz; Sepp Hochreiter. |
| Classifying biological sequences is one of the most important tasks in computational biology. In the last decade, support vector machines (SVMs) in combination with sequence kernels have emerged as a de-facto standard. These methods are theoretically well-founded, reliable, and provide high-accuracy solutions at low computational cost. However, obtaining a highly accurate classifier is rarely the end of the story in many practical situations. Instead, one often aims to acquire biological knowledge about the principles underlying a given classification task. SVMs with traditional sequence kernels do not offer a straightforward way of accessing this knowledge.

In this contribution, we propose a new approach to analyzing... |
| Tipo: Poster |
Palavras-chave: Bioinformatics. |
| Ano: 2010 |
URL: http://precedings.nature.com/documents/4708/version/1 |
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| Carsten C. Mahrenholz; Victor Tapia; Rolf Stigler; Rudolf Volkmer. |
| There are several methods commonly used to measure protein-protein interactions and binding affinities. Quite contrary to most of these methods, protein- and peptide arrays on cellulose membranes or glass slides are suitable for high-throughput measurement, as they provide a higher density of probes and a multitude of peptide-protein interactions can be measured in parallel [1]. The most important application of the SPOT synthesis technique is to simultaneously detect a high number of peptides that have a strong binding affinity to defined targets. The validity of the results, however, depends on the ability of the detection system to indicate binding events whilst not interfering with the experiment itself through cross reaction. We tested three common... |
| Tipo: Poster |
Palavras-chave: Biotechnology; Chemistry. |
| Ano: 2010 |
URL: http://precedings.nature.com/documents/4448/version/1 |
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