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DEFINITION AND MEASUREMENT OF INFORMATION
Some General Remarks on Information Theory and Entropy
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activity alleles amino acids amount animals antibodies antigenic appears Arch average becomes Biol biological bits blastomeres blood called carbohydrate cells cleavage combination complexity components concerned consider contain defined definition depend derived determined discussion distribution double effect elements embryos energy entropy enzyme equal error estimate example expected expressed factors formation fraction function gene give given glucose groups growth hormone hybrid identical increased individual information content information theory injection insulin kinds known less limit liver living means measure mechanism molecule nature needed negative normal observed obtained occur organism pair particular patches Pearlneck physical positive possible present probability produced protein reaction REFERENCES relations represent residues result Ring separation single specificity stage structure substances substrate Table tion transducer twins uncertainty unit University volume