Bayesian Sparse Factor Analysis of High Dimensional Gene Expression Data
This work closely studied fundamental techniques of Bayesian sparse Factor Analysis model - constrained Least Square regression, Bayesian Lasso regression, and some popular sparsity-inducing priors. In Appendix A, we introduced each of the fundamental techniques in a coherent manner and provided det...
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| Format: | Others |
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North Dakota State University
2021
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| Online Access: | https://hdl.handle.net/10365/31693 |