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Titlebook: Computational and Statistical Approaches to Genomics; Wei Zhang,Ilya Shmulevich Book 2006Latest edition Springer-Verlag US 2006 Microarray

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楼主: Conjecture
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Design Issues and Comparison of Methods for Microarray-Based Classification, issues. This is especially so in applications such as cancer classification where there is no prior knowledge concerning the vector-label distributions involved. It is clearly prudent to try to achieve classification using small numbers of genes and rules of low complexity (low VC dimension), and t
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Analyzing Protein Sequences Using Signal Analysis Techniques,uence of a protein may be considered as a twenty symbol alphabet sequence, or it may be considered as a sequence of numerical values reflecting various physicochemical aspects of the amino acids such as hydrophobicity, bulkiness, or electron-ion interaction potential. When primary protein sequence i
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Statistical Methods in Serial Analysis of Gene Expression (Sage),ng focused in differential expression detection problems, but we hope that main ideas could be useful to track the original literature. We saw that estimation of a tag abundance could not be simpler than observed counts divided by sequenced total, but rather can receive sophisticated treatments such
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Inference of Genetic Regulatory Networks via Best-Fit Extensions, networks. We have considered a learning strategy that is well suited for situations in which inconsistencies in observations are likely to occur. This strategy produces a Boolean network that makes as few misclassifications as possible and is a generalization of the well-known Consistency Problem.
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R. Madhan,G. Navelkar,Elgar Desa,Sanjeev Afzulpurkar,Shivanand Prabhudesai,Nitin Dabholkar,Antonio Mascarenhas,Pramod Maurya gemeint war. Sein berühmter Roman . wurde im Jubiläumsjahr 1997 neu verlegt und ist nicht der einzige des Autors.. 1905 erschien ., 1909 ... Doch ist unter Fachleuten seine . nicht weniger anerkannt. Laßwitz hatte mit einer Arbeit über . promoviert, nachdem er Mathematik, Physik und auch Philosophi
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Delusive PageRank in Incomplete Graphsbased on link analysis such as .. In this paper we focus on studying such deviations in ordering/ranking imposed by . over incomplete graphs. We first show that deviations in rankings induced by . are indeed possible. We measure how much a ranking, induced by ., on an input graph could deviate from
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