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An integrative analysis of cancer gene expression studies using Bayesian latent factor modeling
micro-environmental parameters in cancer Weibull survival models
2010/10/19
We present an applied study in cancer genomics for integrating data and inferences from laboratory experiments on cancer cell lines with observational data obtained from human breast cancer studies. T...
Increasing stability and interpretability of gene expression signatures
stability interpretability gene expression signatures
2010/3/9
Motivation Molecular signatures for diagnosis or prognosis estimated
from large-scale gene expression data often lack robustness and
stability, rendering their biological interpretation challenging....
Bayesian Identification of Differential Gene Expression Induced by Metals in Human Bronchial Epithelial Cells
Bayesian latent variables MCMC dierential expression hierarchical model microarray macroarray toxicology model selection
2009/9/21
The study of genetics continues to advance dramatically with the
development of microarray technology. In light of the advancements, interesting
statistical challenges have arisen. Given that only o...