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. Discussion The Shannon entropy was first introduced by Shannon in 1948 in his landmark paper ``A Mathematical Theory of Communication.'' The entropy is a functional of the probability distribution function...
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Entropy (information theory) - Wikipedia, the free encyclopedia
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Information theory - Wikipedia, the free encyclopedia
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The Shannon entropy equation provides a way to estimate the average minimum number of bits needed to encode a string of symbols, based on the frequency of the symbols.
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Measures of Uncertainty: Shannon's Entropy ... Properties of Shannon's Entropy ... Entropy Rate and Entropy Series...
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We introduce a definition of tissue specificity based on Shannon entropy to rank human genes according to their overall tissue specificity and by their specificity to particular tissues.
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We introduce a definition of tissue specificity based on Shannon entropy to rank human genes according to their overall tissue specificity and by their specificity to particular tissues.
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BACKGROUND:The regulatory mechanisms underlying tissue specificity are a crucial part of the development and maintenance of multicellular organisms. We apply our definition to microarray-based and expressed sequence tag (EST)-based expression data for human genes and use similar data for mouse genes to validate our results.
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Promoter features related to tissue specificity as measured by Shannon entropy.; Schug J, Schuller WP, Kappen C, Salbaum JM, Bucan M, Stoeckert CJ; Genome Biol 2005, 6:R33; [Full text] [PubMed] [Related articles] [Cited on BioMed Central];
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Shannon Entropy as an Intrinsic Target Property: Toward a Reductionist Model of; Anomalous Cognition by; Edwin C. May, Ph.D. S. James P. Spottiswoode (Consultant) and; Christine L. James; Science Applications International Corporation;
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