Sevcik Carlos
Laboratory on Cellular Neuropharmacology, Centro de Biofísica y Bioquímica, Instituto Venezolano de Investigaciones Científicas (IVIC), Caracas, Venezuela.
Prog Biophys Mol Biol. 2017 Aug;127:33-42. doi: 10.1016/j.pbiomolbio.2017.04.003. Epub 2017 Apr 13.
Sigmoid semilogarithmic functions with shape of Boltzmann equations, have become extremely popular to describe diverse biological situations. Part of the popularity is due to the easy availability of software which fits Boltzmann functions to data, without much knowledge of the fitting procedure or the statistical properties of the parameters derived from the procedure. The purpose of this paper is to explore the plasticity of the Boltzmann function to fit data, some aspects of the optimization procedure to fit the function to data and how to use this plastic function to differentiate the effect of treatment on data and to attest the statistical significance of treatment effect on the data.
具有玻尔兹曼方程形状的S形半对数函数，在描述各种生物学情况时变得极为流行。其部分流行原因在于软件易于获取，这些软件可将玻尔兹曼函数拟合到数据上，而无需对拟合过程或从该过程导出的参数的统计特性有太多了解。本文的目的是探讨玻尔兹曼函数拟合数据的可塑性、将该函数拟合到数据的优化过程的某些方面，以及如何使用这种可塑性函数来区分治疗对数据的影响并证明治疗效果对数据的统计显著性。
