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Dimerization induces bimodality in protein number distributions
Biosystems, 2023We examined gene expression with DNA switching between two states, active and inactive. Subpopulations emerge from mechanisms that do not arise from trivial transcriptional heterogeneity. Although the RNA demonstrates a unimodal distribution, dimerization intriguingly causes protein bimodality.
Ming-Yang, Ling +3 more
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1993
A number of methods for cleaning up noisy training sets to improve generalisation have been proposed recently. Most of these methods perform well on artificially noisy data, but less well on real world data where it is difficult to distinguish between noisy data points from valid but rare data points.
P. Slade, T. D. Gedeon
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A number of methods for cleaning up noisy training sets to improve generalisation have been proposed recently. Most of these methods perform well on artificially noisy data, but less well on real world data where it is difficult to distinguish between noisy data points from valid but rare data points.
P. Slade, T. D. Gedeon
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Bimodal distribution of violent assaults
Forensic Science International, 2006The aim of the present study was to investigate the relationship between the number of injuries inflicted on victim during violent assault and other variables, characterizing the offender and the assault. The study is based on all the cases that were processed at the City Court of Tallinn, Estonia in 1986 and 1996.
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Bimodal skew-symmetric normal distribution
Communications in Statistics - Theory and Methods, 2015ABSTRACTWe introduce a new parsimonious bimodal distribution, referred to as the bimodal skew-symmetric Normal (BSSN) distribution, which is potentially effective in capturing bimodality, excess kurtosis, and skewness. Explicit expressions for the moment-generating function, mean, variance, skewness, and excess kurtosis were derived.
M.Y. Hassan, M.Y. El-Bassiouni
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Continuum analogue of bimodal distributions
Theoretical and Mathematical Physics, 2012We consider the Boltzmann equation for the hard-sphere model. We construct an explicit approximate solution of this equation in the form of a continuum distribution in the case of global Maxwellians. We obtain some sufficient conditions for attaining the minimum of the uniform-integral mismatch between the sides of the equation.
V. D. Gordevskyy, E. S. Sazonova
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Modeling bimodal electromigration failure distributions
Microelectronics Reliability, 2001Abstract One of the major tasks in reliability methodology is the correct modeling of electromigration failure distributions. Usually the failures within a sample of test devices are caused by a single physical failure mechanism and the resulting failure distribution can be tight-fitted by a single log-normal distribution.
A.H Fischer +4 more
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Genesis of Bimodal Distributions
Technometrics, 1964Conditions for which the density function of a mixture of two normal distributions is bimodal are investigated. For fixed values of the variances σ1 2 and σ2 2 of the normal distributions if the difference between the means is sufficiently small, the distribution of the mixture will be unimodal, independent of the proportions p and 1 – p, 0 < p < 1. If
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Transformation of Bimodal Probability Distributions Into Possibility Distributions
IEEE Transactions on Instrumentation and Measurement, 2008At the application level, it is important to be able to define the measurement result as an interval that will contain an important part of the distribution of the measured values, that is, a coverage interval. This practice acknowledged by the International Organization for Standardization (ISO) Guide is a major shift from the probabilistic ...
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A Bimodal Distribution on the Sphere
Applied Statistics, 1982SUMMARY A distribution is proposed as a model for spherical data concentrated about two directions in roughly equal proportions. This distribution, which has convenient computational properties, includes the Fisher distribution as a special case (that in which the modal directions coincide).
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Bimodal distribution. Are you sure?
Quality and Reliability Engineering International, 1993AbstractThe paper points out complicated relations between the failure density function and the probability density function of logarithmic lifetime and practical consequences.
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