Data Mining

Download PDF by Marie-France Sagot, Maria Emilia M.T. Walter: Advances in Bioinformatics and Computational Biology: Second

By Marie-France Sagot, Maria Emilia M.T. Walter

ISBN-10: 3540737308

ISBN-13: 9783540737308

This ebook constitutes the refereed court cases of the second one Brazilian Symposium on Bioinformatics, BSB 2007, held in Angra dos Reis, Brazil, in August 2007; co-located with IWGD 2007, the foreign Workshop on Genomic Databases.

The thirteen revised complete papers and six revised prolonged abstracts have been conscientiously reviewed and chosen from 60 submissions. The papers tackle a extensive variety of present themes in computationl biology and bioinformatics that includes unique study in laptop technological know-how, arithmetic and information in addition to in molecular biology, biochemistry, genetics, drugs, microbiology and different lifestyles sciences.

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Additional info for Advances in Bioinformatics and Computational Biology: Second Brazilian Symposium on Bioinformatics, BSB 2007, Angra dos Reis, Brazil, August 29-31,

Sample text

The essence of MOCLE is the simultaneous optimization of different clustering validation measures (objective functions) using a Pareto-based multi-objective genetic algorithm together with a special crossover operator. For instance, the prior knowledge about a known structure of the data can be integrated into MOCLE by means of an additional objective function that takes external information into account. The result of MOCLE is a concise, stable and high quality set of partitions representing different trade-offs between the validation measures optimized.

First, a floor of 100 and a ceiling of 16000 were applied. Then, we eliminated the genes with max/min ≤ 5 and (max − min) ≤ 500, where max and min refer respectively to the maximum and minimum expression levels of a particular gene across mRNA samples. Finally, a base 10 logarithmic transformation was applied. The leukemia dataset, described in the literature as St. Jude leukemia, contains gene expression data related to subtypes of pediatric acute lymphoblastic leukemia [3]. For this dataset, we considered two structures.

Those N occurrences of the inserted (l, d)-motif. Each pi ∈ {1, 2, · · · , T − l + 1} ∪ {0}, with pi = 0 means that sequence Si contains no occurrences of the motif. Notice that this problem was already implicitly defined in [17]. Although the planted motif problem was not explicitly defined, the author introduced two variants of the motif finding problem and, one of them includes the motif finding problem as it is defined above. The complexity of this problem and its variants (all NP-Hard [23]) has motivated the development of efficient heuristics to deal with them.

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Advances in Bioinformatics and Computational Biology: Second Brazilian Symposium on Bioinformatics, BSB 2007, Angra dos Reis, Brazil, August 29-31, by Marie-France Sagot, Maria Emilia M.T. Walter

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