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· 분류 : 외국도서 > 과학/수학/생태 > 수학 > 응용수학
· ISBN : 9781420070170
· 쪽수 : 466쪽
· 출판일 : 2010-09-03
목차
Estimation and Testing in Time-Course Microarray Experiments, C. Angelini, D. De Canditilis, and M. Pensky
Classification for Differential Gene Expression Using Bayesian Hierarchical Models, N. Bochkina and A. Lewin
Applications of the Mode Oriented Stochastic Search (MOSS) for Discrete Multi-Way Data to Genome-Wide Studies, A. Dobra, L. Briollais, H. Jarjanazi, H. Ozelik, and H. Massam
Nonparametric Bayesian Bioinformatics, D. Dunson
Measurement Error Models for cDNA Microarray and Time-to-Event Data with Applications to Breast Cancer, J. Gelfond and J. Ibrahim
Bayesian Robust Inference for Differential Gene Expression, R. Gottardo
Bayesian Hidden Markov Modeling of Array CGH Data, S. Guha
Recent Developments in Bayesian Phylogenetics, M. Holder, J. Sukumaran, and R. Brown
Gene Selection for the Identification of Biomarkers in High-Throughput Data, J. Jeong, M. Vannucci, K. Do, B. Broom, S. Kim, N. Sha, M. Tadese, K. Yan, and L. Puzstai
Sparsity Priors for Protein-Protein Interaction Predictions, I. Kim, Y. Liu, and H. Zhao
Learning Bayesian Networks for Gene Expression Data, F. Liang
In Vitro to In Vivo Factor Profiling in Expression Genomics, J. Lucas, C, Carvalho, D. Merl, and M. West
Proportional Hazards Regression Using Bayesian Kernel Machines, A. Maity and B. Mallick
A Bayesian Mixture Model for Protein Biomarker Discovery, P. Muller, K. Baggerly, K. Do, and Bandopadhyay
Bayesian Methods for Detecting Differentially Expressed Genes, F. Yu, M-H. Chen, and L. Kuo
Bayes and Empirical Bayes Methods for Spotted Microarray Data Analysis, D. Zhang
Bayesian Classification Method for QTL Mapping, M. Zhang














