Titlebook: Selected Nuclear Materials and Engineering Systems; G. Effenberg,S. Ilyenko Book 20071st edition Springer-Verlag Berlin Heidelberg 2007 cr

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these models, for .?>?1, are very different from that of the yeast proteome network. We address this problem by introducing a new network growth model that takes into account the sequence similarity between pairs of proteins (as a binary relationship) as well as their interactions. The new model ca

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small number of regulatory prototypes such as transcription factors, underscoring the fact that a small number of regulatory genes have predominant impact to the expression of most of genes and function in a combinatorial manner. The methods allow partitioning genes into mutually non-exclusive trans

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icroT 3.0, a target prediction program, predicted reliable targets from 273 miRNAs. Among them, KeyMolnet, a bioinformatics tool for analyzing molecular interactions on the comprehensive knowledgebase, successfully extracted molecular networks from 232 miRNAs. In miRNA targetome networks, the most r