Titlebook: Computational Intelligence in Biomedicine and Bioinformatics; Current Trends and A Tomasz G. Smolinski,Mariofanna G. Milanova,Aboul-E Book

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Considering Stem-Loops as Sequence Signals for Finding Ribosomal RNA Genesoops on their way to forming stable structures. Also, stem-loops can be identified along a sequence of length . in .(.) time. We postulate that stem-loops found in structural RNA genes may tend to be longer than those found in their genomic counterparts - coding sequences and noncoding DNA. We also

Acetaldehyde

Power-Law Signatures and Patchiness in Genechip Oligonucleotide Microarrayson estimation precedes biological inference and is given as a complex combination of atomic entities on the array called probes. These probe intensities are further classified into perfect-match (PM) and mismatch (MM) probes. While former is a measure of specific binding, the latter is a measure of

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Case Study: Structure and Function Prediction of a Protein with No Functionally Characterized Homolooteins. Prediction tools are used to guide the experimental design to test various hypotheses about structure and function of known proteins. However, these tools are particularly useful when studying putative protein sequences with no known function. The genomic era produced a large number of seque

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https://doi.org/10.1007/978-3-540-70778-3algorithms; bioinformatics; biomedicine; computational intelligence; data mining; evolution; evolutionary

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978-3-642-08969-5Springer-Verlag Berlin Heidelberg 2008

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https://doi.org/10.1007/978-3-8349-8823-2he computing community. However, due to the mathematical nature of the Rough Sets methodology, many experimental scientists lacking sufficient mathematical background have been hesitant to use it. The goal of this chapter is twofold: (1) to introduce “Rough Sets” methodology (along with one of its d

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