Results 21 to 30 of about 2,955,171 (326)
Frontiers in Genetics, 2020 Chromatin interaction analysis by paired-end tag sequencing (ChIA-PET) is an important experimental method for detecting specific protein-mediated chromatin loops genome-wide at high resolution. Here, we proposed a new statistical approach with a mixture
Yibeltal Arega +6 more
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Mathematics, 2022 The need to model proportional data is common in a range of disciplines however, due to its bimodal nature, U- or J-shaped data present a particular challenge.
Janette Larney +2 more
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A simulation study of a parametric mixture model of three different distributions to analyze heterogeneous survival data [PDF]
, 2013 In this paper a simulation study of a parametric mixture model of three different distributions is considered to model heterogeneous survival data.Some properties of the proposed parametric mixture of Exponential, Gamma and Weibull are investigated.The ...
Ismail, Suzilah +2 more
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Human Vaccines & Immunotherapeutics, 2018 A single dose of the measles-mumps-rubella (MMR) vaccine has been applied in routine immunizations for children in China; however, the Immunoglobulin G (IgG) antibody level of mumps in children from kindergarten to early school age with MMR vaccine ...
Lei Zhang +8 more
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Generalized Analysis of a Distribution Separation Method
Entropy, 2016 Separating two probability distributions from a mixture model that is made up of the combinations of the two is essential to a wide range of applications. For example, in information retrieval (IR), there often exists a mixture distribution consisting of
Peng Zhang +5 more
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Mixture of Akash Distributions: Estimation, Simulation and Application
Axioms, 2022 In this paper, we propose a two-component mixture of Akash model (TC-MAM). The behavior of TC-MAM distribution has been presented graphically. Moment-based measures, including skewness, index of dispersion, kurtosis, and coefficient of variation, have ...
Anum Shafiq +4 more
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Bayesian Repulsive Gaussian Mixture Model
, 2017 We develop a general class of Bayesian repulsive Gaussian mixture models that encourage well-separated clusters, aiming at reducing potentially redundant components produced by independent priors for locations (such as the Dirichlet process).
Xie, Fangzheng, Xu, Yanxun
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Frontiers in Genetics, 2019 Motivation: Gene set enrichment analysis is a widely accepted expression analysis tool which aims at detecting coordinated expression change within a pre-defined gene sets rather than individual genes.
Wenyi Qin +9 more
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, 2019 Mixtures of experts models provide a framework in which covariates may be included in mixture models. This is achieved by modelling the parameters of the mixture model as functions of the concomitant covariates. Given their mixture model foundation, mixtures of experts models possess a diverse range of analytic uses, from clustering observations to ...
Gormley, Isobel Claire +1 more
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Classifying Exoplanets with Gaussian Mixture Model
, 2018 Recently, Odrzywolek and Rafelski (arXiv:1612.03556) have found three distinct categories of exoplanets, when they are classified based on density. We first carry out a similar classification of exoplanets according to their density using the Gaussian ...
Desai, Shantanu, Kulkarni, Soham
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