TY - JOUR AU - Lee, K. E. AU - Sha, N. AU - Dougherty, E. R. AU - Vannucci, M. AU - Mallick, B. K. PY - 2003 DA - 2003// TI - Gene selection: a Bayesian variable selection approach JO - Bioinformatics VL - 19 UR - https://doi.org/10.1093/bioinformatics/19.1.90 DO - 10.1093/bioinformatics/19.1.90 ID - Lee2003 ER - TY - JOUR AU - Rogers, S. AU - Girolami, M. PY - 2005 DA - 2005// TI - A Bayesian regression approach to the inference of regulatory networks from gene expression data JO - Bioinformatics VL - 21 UR - https://doi.org/10.1093/bioinformatics/bti487 DO - 10.1093/bioinformatics/bti487 ID - Rogers2005 ER - TY - JOUR AU - Jensen, S. T. AU - Chen, G. AU - Stoeckert, C. J. PY - 2007 DA - 2007// TI - Bayesian variable selection and data integration for biological regulatory networks JO - Ann Appl Stat VL - 1 UR - https://doi.org/10.1214/07-AOAS130 DO - 10.1214/07-AOAS130 ID - Jensen2007 ER - TY - JOUR AU - Mukherjee, S. PY - 2009 DA - 2009// TI - Sparse combinatorial inference with an application in cancer biology JO - Bioinformatics VL - 25 UR - https://doi.org/10.1093/bioinformatics/btn611 DO - 10.1093/bioinformatics/btn611 ID - Mukherjee2009 ER - TY - JOUR AU - Wu, T. T. AU - Chen, Y. F. AU - Hastie, T. AU - Sobel, E. AU - Lange, K. PY - 2009 DA - 2009// TI - Genome-wide association analysis by lasso penalized logistic regression JO - Bioinformatics VL - 25 UR - https://doi.org/10.1093/bioinformatics/btp041 DO - 10.1093/bioinformatics/btp041 ID - Wu2009 ER - TY - JOUR AU - Ai-Jun, Y. AU - Xin-Yuan, S. PY - 2010 DA - 2010// TI - Bayesian variable selection for disease classification using gene expression data JO - Bioinformatics VL - 26 UR - https://doi.org/10.1093/bioinformatics/btp638 DO - 10.1093/bioinformatics/btp638 ID - Ai-Jun2010 ER - TY - JOUR AU - Brown, P. J. AU - Vannucci, M. AU - Fearn, T. PY - 2002 DA - 2002// TI - Bayes model averaging with selection of regressors JO - J R Stat Soc B VL - 64 UR - https://doi.org/10.1111/1467-9868.00348 DO - 10.1111/1467-9868.00348 ID - Brown2002 ER - TY - JOUR AU - George, E. I. AU - McCulloch, R. E. PY - 1997 DA - 1997// TI - Approaches for Bayesian variable selection JO - Stat Sin VL - 7 ID - George1997 ER - TY - JOUR AU - Chipman, H. PY - 2001 DA - 2001// TI - The practical implementation of Bayesian model selection JO - IMS Lecture Notes-Monograph Ser VL - 38 UR - https://doi.org/10.1214/lnms/1215540964 DO - 10.1214/lnms/1215540964 ID - Chipman2001 ER - TY - JOUR AU - Sachs, K. AU - Perez, O. AU - Pe’er, D. AU - Lauffenburger, D. A. AU - Nolan, G. P. PY - 2005 DA - 2005// TI - Causal protein-signaling networks derived from multiparameter single-cell data JO - Science VL - 308 UR - https://doi.org/10.1126/science.1105809 DO - 10.1126/science.1105809 ID - Sachs2005 ER - TY - JOUR AU - Madigan, D. AU - York, J. AU - Allard, D. PY - 1995 DA - 1995// TI - Bayesian graphical models for discrete data JO - Int Stat Rev VL - 63 UR - https://doi.org/10.2307/1403615 DO - 10.2307/1403615 ID - Madigan1995 ER - TY - JOUR AU - Raftery, A. E. AU - Madigan, D. AU - Hoeting, J. A. PY - 1997 DA - 1997// TI - Bayesian model averaging for linear regression models JO - J Am Stat Assoc VL - 92 UR - https://doi.org/10.1080/01621459.1997.10473615 DO - 10.1080/01621459.1997.10473615 ID - Raftery1997 ER - TY - BOOK AU - Robert, C. P. AU - Casella, G. PY - 2004 DA - 2004// TI - Monte Carlo Statistical Methods PB - Springer CY - New York UR - https://doi.org/10.1007/978-1-4757-4145-2 DO - 10.1007/978-1-4757-4145-2 ID - Robert2004 ER - TY - JOUR AU - Nott, D. J. AU - Green, P. J. PY - 2004 DA - 2004// TI - Bayesian variable selection and the Swendsen-Wang algorithm JO - J Comput Graph Stat VL - 13 UR - https://doi.org/10.1198/1061860042958 DO - 10.1198/1061860042958 ID - Nott2004 ER - TY - JOUR AU - Smith, M. AU - Kohn, R. PY - 1996 DA - 1996// TI - Nonparametric regression using Bayesian variable selection JO - J Econometrics VL - 75 UR - https://doi.org/10.1016/0304-4076(95)01763-1 DO - 10.1016/0304-4076(95)01763-1 ID - Smith1996 ER - TY - BOOK AU - Denison, D. G. T. AU - Holmes, C. C. AU - Mallick, B. K. AU - Smith, A. F. M. PY - 2002 DA - 2002// TI - Bayesian Methods for Nonlinear Classification and Regression PB - Wiley CY - London ID - Denison2002 ER - TY - JOUR AU - Kohn, R. AU - Smith, M. AU - Chan, D. PY - 2001 DA - 2001// TI - Nonparametric regression using linear combinations of basis functions JO - Stat Comput VL - 11 UR - https://doi.org/10.1023/A:1011916902934 DO - 10.1023/A:1011916902934 ID - Kohn2001 ER - TY - BOOK AU - Carlin, B. P. AU - Louis, T. A. PY - 2008 DA - 2008// TI - Bayesian Methods for Data Analysis ID - Carlin2008 ER - TY - JOUR AU - Li, F. AU - Zhang, N. R. PY - 2010 DA - 2010// TI - Bayesian variable selection in structured high-dimensional covariate spaces with applications in genomics JO - J Am Stat Assoc VL - 105 UR - https://doi.org/10.1198/jasa.2010.tm08177 DO - 10.1198/jasa.2010.tm08177 ID - Li2010 ER - TY - JOUR AU - Tibshirani, R. PY - 1996 DA - 1996// TI - Regression shrinkage and selection via the lasso JO - J R Stat Soc B VL - 58 ID - Tibshirani1996 ER - TY - JOUR AU - Li, C. AU - Li, H. PY - 2008 DA - 2008// TI - Network-constrained regularization and variable selection for analysis of genomic data JO - Bioinformatics VL - 24 UR - https://doi.org/10.1093/bioinformatics/btn081 DO - 10.1093/bioinformatics/btn081 ID - Li2008 ER - TY - JOUR AU - Stingo, F. C. AU - Vannucci, M. PY - 2011 DA - 2011// TI - Variable selection for discriminant analysis with Markov random field priors for the analysis of microarray data JO - Bioinformatics VL - 27 UR - https://doi.org/10.1093/bioinformatics/btq690 DO - 10.1093/bioinformatics/btq690 ID - Stingo2011 ER - TY - JOUR AU - Friedman, J. AU - Hastie, T. AU - Tibshirani, R. PY - 2010 DA - 2010// TI - Regularization paths for generalized linear models via coordinate descent JO - J Stat Soft VL - 33 UR - https://doi.org/10.18637/jss.v033.i01 DO - 10.18637/jss.v033.i01 ID - Friedman2010 ER - TY - BOOK AU - Weinberg, R. A. PY - 2006 DA - 2006// TI - The Biology of Cancer PB - Garland Science CY - New York ID - Weinberg2006 ER - TY - JOUR AU - Hanahan, D. AU - Weinberg, R. A. PY - 2000 DA - 2000// TI - The hallmarks of cancer JO - Cell VL - 100 UR - https://doi.org/10.1016/S0092-8674(00)81683-9 DO - 10.1016/S0092-8674(00)81683-9 ID - Hanahan2000 ER - TY - JOUR AU - Yarden, Y. AU - Sliwkowski, M. X. PY - 2001 DA - 2001// TI - Untangling the ErbB signalling network JO - Nat Rev Mol Cell Biol VL - 2 UR - https://doi.org/10.1038/35052073 DO - 10.1038/35052073 ID - Yarden2001 ER - TY - JOUR AU - Neve, R. M. PY - 2006 DA - 2006// TI - A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes JO - Cancer Cell VL - 10 UR - https://doi.org/10.1016/j.ccr.2006.10.008 DO - 10.1016/j.ccr.2006.10.008 ID - Neve2006 ER - TY - CHAP AU - Heiser, L. M. PY - 2011, DA - 2011,// TI - Subtype and pathway specific responses to anticancer compounds in breast cancer BT - Proceedings of the National Academy of Sciences ID - Heiser2011, ER - TY - JOUR AU - Yang, L. PY - 2004 DA - 2004// TI - Akt/protein kinase B signaling inhibitor-2, a selective small molecule inhibitor of Akt signaling with antitumor activity in cancer cells overexpressing Akt JO - Cancer Res VL - 64 UR - https://doi.org/10.1158/0008-5472.CAN-04-0343 DO - 10.1158/0008-5472.CAN-04-0343 ID - Yang2004 ER - TY - JOUR AU - Burgering, B. M. T. AU - Coffer, P. J. PY - 2002 DA - 2002// TI - Protein kinase B (c-Akt) in phosphatidylinositol-3-OH kinase signal transduction JO - Nature VL - 376 UR - https://doi.org/10.1038/376599a0 DO - 10.1038/376599a0 ID - Burgering2002 ER - TY - JOUR AU - Nevins, J. R. PY - 2001 DA - 2001// TI - The Rb/E2F pathway and cancer JO - Hum Mol Genet VL - 10 UR - https://doi.org/10.1093/hmg/10.7.699 DO - 10.1093/hmg/10.7.699 ID - Nevins2001 ER - TY - JOUR AU - Chaussepied, M. AU - Ginsberg, D. PY - 2004 DA - 2004// TI - Transcriptional Regulation of AKT Activation by E2F JO - Mol Cell VL - 16 UR - https://doi.org/10.1016/j.molcel.2004.11.003 DO - 10.1016/j.molcel.2004.11.003 ID - Chaussepied2004 ER - TY - JOUR AU - George, E. I. AU - Foster, D. P. PY - 2000 DA - 2000// TI - Calibration and empirical Bayes variable selection JO - Biometrika VL - 87 UR - https://doi.org/10.1093/biomet/87.4.731 DO - 10.1093/biomet/87.4.731 ID - George2000 ER - TY - JOUR AU - Yuan, M. AU - Lin, Y. PY - 2005 DA - 2005// TI - Efficient empirical Bayes variable selection and estimation in linear models JO - J Am Stat Assoc VL - 100 UR - https://doi.org/10.1198/016214505000000367 DO - 10.1198/016214505000000367 ID - Yuan2005 ER - TY - JOUR AU - Wei, Z. AU - Li, H. PY - 2008 DA - 2008// TI - A hidden spatial-temporal Markov random field model for network-based analysis of time course gene expression data JO - Ann Appl Stat VL - 2 UR - https://doi.org/10.1214/07--AOAS145 DO - 10.1214/07--AOAS145 ID - Wei2008 ER - TY - CHAP AU - Li, H. AU - Monni, S. ED - Chen, M. H. ED - Müller, P. ED - Sun, D. ED - Ye, K. ED - Dey, D. K. PY - 2010 DA - 2010// TI - Bayesian methods for network-structured genomics data BT - Frontiers of Statistical Decision Making and Bayesian Analysis PB - Springer CY - New, York ID - Li2010 ER - TY - JOUR AU - Binder, H. AU - Schumacher, M. PY - 2009 DA - 2009// TI - Incorporating pathway information into boosting estimation of high-dimensional risk prediction models JO - BMC Bioinf VL - 10 UR - https://doi.org/10.1186/1471-2105-10-18 DO - 10.1186/1471-2105-10-18 ID - Binder2009 ER - TY - JOUR AU - Slawski, M. AU - zu Castell, W. AU - Tutz, G. PY - 2010 DA - 2010// TI - Feature selection guided by structural information JO - Ann Appl Stat VL - 4 UR - https://doi.org/10.1214/09-AOAS302 DO - 10.1214/09-AOAS302 ID - Slawski2010 ER - TY - JOUR AU - Zhu, Y. AU - Shen, X. AU - Pan, W. PY - 2009 DA - 2009// TI - Network-based support vector machine for classification of microarray samples JO - BMC Bioinf VL - 10 UR - https://doi.org/10.1186/1471-2105-10-S1-S21 DO - 10.1186/1471-2105-10-S1-S21 ID - Zhu2009 ER - TY - JOUR AU - Guillemot, V. AU - Tenenhaus, A. AU - Le Brusquet, L. AU - Frouin, V. PY - 2011 DA - 2011// TI - Graph constrained discriminant analysis: A new method for the integration of a graph into a classification process JO - PLoS ONE VL - 6 UR - https://doi.org/10.1371/journal.pone.0026146 DO - 10.1371/journal.pone.0026146 ID - Guillemot2011 ER - TY - CHAP AU - Hartemink, A. J. AU - Bernard, A. PY - 2005 DA - 2005// TI - Informative structure priors: Joint learning of dynamic regulatory networks from multiple types of data BT - Pac Symp Biocomput 2005 PB - World Scientific CY - Singapore ID - Hartemink2005 ER - TY - JOUR AU - Werhli, A. V. AU - Husmeier, D. PY - 2007 DA - 2007// TI - Reconstructing gene regulatory networks with Bayesian networks by combining expression data with multiple sources of prior knowledge JO - Stat Appl Genet Mol Biol VL - 6 ID - Werhli2007 ER - TY - JOUR AU - Mukherjee, S. AU - Speed, T. P. PY - 2008 DA - 2008// TI - Network inference using informative priors JO - Proc Natl Acad Sci USA VL - 105 UR - https://doi.org/10.1073/pnas.0802272105 DO - 10.1073/pnas.0802272105 ID - Mukherjee2008 ER - TY - JOUR AU - Chipman, H. PY - 1996 DA - 1996// TI - Bayesian variable selection with related predictors JO - Can J Stat VL - 24 UR - https://doi.org/10.2307/3315687 DO - 10.2307/3315687 ID - Chipman1996 ER - TY - JOUR AU - Jiang, W. PY - 2007 DA - 2007// TI - Bayesian variable selection for high dimensional generalized linear models: convergence rates of the fitted densities JO - Ann Stat VL - 35 UR - https://doi.org/10.1214/009053607000000019 DO - 10.1214/009053607000000019 ID - Jiang2007 ER - TY - JOUR AU - Husmeier, D. PY - 2003 DA - 2003// TI - Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks JO - Bioinformatics VL - 19 UR - https://doi.org/10.1093/bioinformatics/btg313 DO - 10.1093/bioinformatics/btg313 ID - Husmeier2003 ER -