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  1. Megavariate Genetics: What You Find Is What You Go Looking For.Clive E. Bowman - 2009 - Biological Theory 4 (1):21-28.
    The subjectivity or “purpose dependency” of measurement in biology is discussed using examples from high-dimensional medical genetic research. The human observer and study designer tacitly determine the numerical and graphical representation of biological simplicity or complexity via choice of ascertainment , numbers to measure, referential basis, statistical learning formalism and feature search, and also via the selection of display styles for all these quantifications.
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  • Measuring Biology.Katrin Schaefer & Fred L. Bookstein - 2009 - Biological Theory 4 (1):1-5.
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  • (1 other version)Multivariate Psychophysics, Multivariate Data: Human Senses and Their Measurement.Finn Tschudi & Magni Martens - 2010 - Biological Theory 5 (4):337-343.
    We reflect upon quantification in biology in two ways. First, from a sensory scientific perspective, we address theories and methods for studying sensation, perception, and cognition. Sensory science concerns action of the human senses, which are not passive receivers but operate in an active and fundamental way for human beings in various social and environmental contexts. In the past one could only handle one-to-one relationships within a univariate framework. Today we have tools to capture complexity closer to real world situations. (...)
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  • (1 other version)Multivariate Psychophysics, Multivariate Data: Human Senses and Their Measurement.Magni Martens & Finn Tschudi - 2010 - Biological Theory 5 (4):337-343.
    We reflect upon quantification in biology in two ways. First, from a sensory scientific perspective, we address theories and methods for studying sensation, perception, and cognition. Sensory science concerns action of the human senses, which are not passive receivers but operate in an active and fundamental way for human beings in various social and environmental contexts. In the past one could only handle one-to-one relationships within a univariate framework. Today we have tools to capture complexity closer to real world situations. (...)
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