An efficient bayesian method for predicting clinical outcomes from genome-wide data.
暂无分享,去创建一个
[1] Thorsten Joachims,et al. Making large scale SVM learning practical , 1998 .
[2] Henry Tirri,et al. On Supervised Selection of Bayesian Networks , 1999, UAI.
[3] B. Schölkopf,et al. Advances in kernel methods: support vector learning , 1999 .
[4] David Maxwell Chickering,et al. Learning Bayesian Networks: The Combination of Knowledge and Statistical Data , 1994, Machine Learning.
[5] Nir Friedman,et al. Bayesian Network Classifiers , 1997, Machine Learning.
[6] M. Goedert,et al. A Century of Alzheimer's Disease , 2006, Science.
[7] Pedro Larrañaga,et al. A review of feature selection techniques in bioinformatics , 2007, Bioinform..
[8] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[9] Jason H. Moore,et al. Tuning ReliefF for Genome-Wide Genetic Analysis , 2007, EvoBIO.
[10] Winnie S. Liang,et al. GAB2 Alleles Modify Alzheimer's Risk in APOE ɛ4 Carriers , 2007, Neuron.
[11] S. Miyano,et al. Finding Optimal Bayesian Network Given a Super-Structure , 2008 .
[12] Adnan Darwiche,et al. Modeling and Reasoning with Bayesian Networks , 2009 .
[13] Angelo Nuzzo,et al. Phenotype forecasting with SNPs data through gene-based Bayesian networks , 2009, BMC Bioinformatics.
[14] Shyam Visweswaran,et al. Bayesian rule learning for biomedical data mining , 2010, Bioinform..
[15] Constantin F. Aliferis,et al. Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation , 2010, J. Mach. Learn. Res..