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Kaur S, Kumar Y, Koul A, Kumar Kamboj S (2023) A systematic review on metaheuristic optimization techniques for feature selections in disease diagnosis: open issues and challenges. Arch Comput Methods Eng 30(3):1863–1895 Article MATH Google Scholar Rajwar K, Deep K, Das S (2023) An exh...
For simplicity, we first consider the case where there is a common population trajectory; that is, the sequence and severity of biomarker alterations is relatively consistent across patients. Individuals’ snapshots must be temporally aligned to correctly place each subject in the population trajectory....
Mapping cell type-specific gene expression quantitative trait loci (ct-eQTLs) is a powerful way to investigate the genetic basis of complex traits. A popular method for ct-eQTL mapping is to assess the interaction between the genotype of a genetic locus
A New Projection Pursuit Index for Big Data Yajie Duanet al. Article |Published online: 24 Apr 2025 Pursuing Homogeneity and Sparsity in Simultaneous Quantile Regression Zhen Zenget al. Article |Published online: 22 Apr 2025 Enhancing Scalability in Bayesian Nonparametric Factor Analysis of Spatiotem...
regression coefficients, and the values of any random effects. Importantly,ηis assumed to be a meanGaussian Markov random field with precision matrixθ(the construction offor continuous spatial models is outlined in [52]) whereθis a vector of hyperparameters. The hyperparameters are often combine...
Single-cell chromatin accessibility assays, such as scATAC-seq, are increasingly employed in individual and joint multi-omic profiling of single cells. As the accumulation of scATAC-seq and multi-omics datasets continue, challenges in analyzing such spar
Longitudinal quantile-based regression models using multivariate asymmetric heavy-tailed distributions and leapfrog HMC algorithm Maryam Sabetrasekh, Iraj Kazemi 15 December 2025 Research articleAbstract only A fast solver for pentadiagonal Toeplitz systems with multiple right-hand sides ...
Define Issues: Model flexibility/identifiability, Model testability/falsifiability Different types of parameters that are estimated (free) or invariant (fixed) during model fitting Introduction to parameter estimation and model fitting techniques The aim of parameter estimation is to find the best alignment...
observations can be computed by applying the empirical distribution function ofTto the data and then scaling the resulting values by\(m/(m+1)\). The scaling factor, which is asymptotically negligible, is used to confine the variables within the interval [0, 1] to avoid issues at the ...