Modeling and Simulation: Proceedings of the ... Annual Pittsburgh Conference, Volume 10Instrument Society of America, 1979 - Computer simulation |
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Page 143
... informational structure of DNA sequences differed from that of amino acid chains and sequences of codons these results are indicative of an evo- lutionary locus of control : which , in terms of contemporary views of population genetics ...
... informational structure of DNA sequences differed from that of amino acid chains and sequences of codons these results are indicative of an evo- lutionary locus of control : which , in terms of contemporary views of population genetics ...
Page 144
... informational structures of all components in the process ; to consider what effect the implications of changes in DNA base sequences have for their subsequent transcription into mRNA and finally the expression of these changes in ...
... informational structures of all components in the process ; to consider what effect the implications of changes in DNA base sequences have for their subsequent transcription into mRNA and finally the expression of these changes in ...
Page 155
... informational content of structures . Comments as to the evolution of ... informational character . DNA , RNA , and amino acid sequence specimens are ... structure of the protein As structure is important for the function of most proteins 155.
... informational content of structures . Comments as to the evolution of ... informational character . DNA , RNA , and amino acid sequence specimens are ... structure of the protein As structure is important for the function of most proteins 155.
Contents
BIOMEDICAL | 4 |
MATHEMATICAL MODELING OF INTRACRANIAL PRESSURE DYNAMICS I | 11 |
QUANTITATIVE ASSESSMENT | 11 |
Copyright | |
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algorithm amino acid amino acid sequences amplitude analysis ARA-C ARMA model AVOD bandwidth biological cell cycle cerebrospinal fluid CFU-C classification cluster codon compartment components constant contrast CSF pressure detection developed DIFFUSION CHAMBER discrimination distribution DNA base DNA sequences dose drug dynamics effect equations estimated experimental factor Figure filter flow formation Fourier hepatic encephalopathy increases informational structure inhibition input intracranial pressure kinetic lateral inhibition line spread function linear luminance Mach band mathematical mechanisms method MODELING AND SIMULATION mRNA msec muscle neurons Nicolini noise nonlinear normal observed obtained optimal order kernel outflow resistance output parameters patients pattern percent phase Pittsburgh predicted protein protoplasts ramp slope receptive fields response saccade sample shown signal spatial frequency specimens stimulus technique theory threshold tion tissue treatment tRNA University values variables volume width