Simultaneous cancer classification and gene selection with Bayesian nearest neighbor method: an integrated approach
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Publication:961289
DOI10.1016/j.csda.2008.10.012zbMath1452.62796OpenAlexW2004482994MaRDI QIDQ961289
Publication date: 30 March 2010
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2008.10.012
Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)
Related Items (3)
Multiclass classification and gene selection with a stochastic algorithm ⋮ Pattern recognition via projection-based \(k\)NN rules ⋮ Bayesian adaptive nearest neighbor
Uses Software
Cites Work
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- Regularized simultaneous model selection in multiple quantiles regression
- Simultaneous selection of variables and smoothing parameters in structured additive regression models
- Bayesian image restoration, with two applications in spatial statistics (with discussion)
- Inference from iterative simulation using multiple sequences
- Bayesian Variable Selection in Multinomial Probit Models to Identify Molecular Signatures of Disease Stage
- Sampling-Based Approaches to Calculating Marginal Densities
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
- A Probabilistic Nearest Neighbour Method for Statistical Pattern Recognition
- Adaptive Rejection Sampling for Gibbs Sampling
- Equation of State Calculations by Fast Computing Machines
- OnL1-Norm Multiclass Support Vector Machines
- Bayesian Classification of Tumours by Using Gene Expression Data
- Hierarchical Bayesian Neural Networks
- The elements of statistical learning. Data mining, inference, and prediction
- Random forests
- Gene selection for cancer classification using support vector machines
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