TY - JOUR AU - Kanehisa, M. AU - Goto, S. PY - 2000 DA - 2000// TI - KEGG: Kyoto Encyclopedia of Genes and Genomes JO - Nucleic Acids Research VL - 28 UR - https://doi.org/10.1093/nar/28.1.27 DO - 10.1093/nar/28.1.27 ID - Kanehisa2000 ER - TY - JOUR AU - Wei, Z. AU - Li, H. PY - 2007 DA - 2007// TI - Nonparametric Pathway-Based Regression Models for Analysis of Genomic Data JO - Biostatistics VL - 8 UR - https://doi.org/10.1093/biostatistics/kxl007 DO - 10.1093/biostatistics/kxl007 ID - Wei2007 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 - Annals of Applied Statistics VL - 2 UR - https://doi.org/10.1214/07--AOAS145 DO - 10.1214/07--AOAS145 ID - Wei2008 ER - TY - JOUR AU - Wei, P. AU - Pan, W. PY - 2008 DA - 2008// TI - Incorporating Gene Networks into Statistical Tests for Genomic Data via a Spatially Correlated Mixture Model JO - Bioinformatics VL - 24 UR - https://doi.org/10.1093/bioinformatics/btm612 DO - 10.1093/bioinformatics/btm612 ID - Wei2008 ER - TY - JOUR AU - Ashburner, M. AU - Ball, C. A. AU - Blake, J. A. AU - Botstein, D. AU - Butler, H. AU - Cherry, J. M. AU - Davis, A. P. AU - Dolinski, K. AU - Dwight, S. S. AU - Eppig, J. T. AU - Harris, M. A. AU - Hill, D. P. AU - Issel-Tarver, L. AU - Kasarskis, A. AU - Lewis, A. K. AU - Matese, J. C. AU - Richardson, J. E. AU - Ringwald, M. AU - Rubin, G. M. AU - Sherlock, G. PY - 2000 DA - 2000// TI - Gene Ontology: Tool for the Unification of Biology JO - Nature Genetics VL - 25 UR - https://doi.org/10.1038/75556 DO - 10.1038/75556 ID - Ashburner2000 ER - TY - JOUR AU - Goeman, J. J. AU - Mansmann, U. PY - 2008 DA - 2008// TI - Multiple Testing on the Directed Acyclic Graph of Gene Ontology JO - Bioinformatics VL - 24 UR - https://doi.org/10.1093/bioinformatics/btm628 DO - 10.1093/bioinformatics/btm628 ID - Goeman2008 ER - TY - JOUR AU - Luan, Y. AU - Li, H. PY - 2008 DA - 2008// TI - Group Additive Regression Models for Genomic Data Analysis JO - Biostatistics VL - 9 UR - https://doi.org/10.1093/biostatistics/kxm015 DO - 10.1093/biostatistics/kxm015 ID - Luan2008 ER - TY - JOUR AU - Bild, A. H. AU - Yao, G. AU - Chang, J. T. AU - Wang, Q. AU - Potti, A. AU - Chasse, D. AU - Joshi, M. B. AU - Harpole, D. AU - Lancaster, J. M. AU - Berchuck, A. AU - Olson, J. A. AU - Marks, J. R. AU - Dressman, H. K. AU - West, M. PY - 2006 DA - 2006// TI - Oncogenic Pathway Signatures in Human Cancers as a Guide to Targeted Therapies JO - Nature VL - 439 UR - https://doi.org/10.1038/nature04296 DO - 10.1038/nature04296 ID - Bild2006 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 - Tibshirani, R. PY - 1996 DA - 1996// TI - Regression Shrinkage and Selection via the Lasso JO - Journal of the Royal Statistical Society B VL - 58 ID - Tibshirani1996 ER - TY - JOUR AU - Tibshirani, R. AU - Saunders, M. AU - Rosset, S. AU - Zhu, J. AU - Kneight, K. PY - 2005 DA - 2005// TI - Sparsity and Smoothness Via the Fused Lasso JO - Journal of the Royal Statistical Society B VL - 67 UR - https://doi.org/10.1111/j.1467-9868.2005.00490.x DO - 10.1111/j.1467-9868.2005.00490.x ID - Tibshirani2005 ER - TY - JOUR AU - Park, M. Y. AU - Hastie, T. PY - 2007 DA - 2007// TI - L1-Regularization Path Algorithms for Generalized Linear Models JO - Journal of the Royal Statistical Society B VL - 69 UR - https://doi.org/10.1111/j.1467-9868.2007.00607.x DO - 10.1111/j.1467-9868.2007.00607.x ID - Park2007 ER - TY - JOUR AU - Bühlmann, P. AU - Hothorn, T. PY - 2007 DA - 2007// TI - Boosting Algorithms: Regularization, Prediction and Model Fitting JO - Statistical Science VL - 22 UR - https://doi.org/10.1214/07-STS242 DO - 10.1214/07-STS242 ID - Bühlmann2007 ER - TY - JOUR AU - Bühlmann, P. AU - Yu, B. PY - 2003 DA - 2003// TI - Boosting With the L2 Loss: Regression and Classification JO - Journal of the American Statistical Association VL - 98 UR - https://doi.org/10.1198/016214503000125 DO - 10.1198/016214503000125 ID - Bühlmann2003 ER - TY - JOUR AU - Tutz, G. AU - Binder, H. PY - 2007 DA - 2007// TI - Boosting Ridge Regression JO - Computational Statistics & Data Analysis VL - 51 UR - https://doi.org/10.1016/j.csda.2006.11.041 DO - 10.1016/j.csda.2006.11.041 ID - Tutz2007 ER - TY - JOUR AU - Binder, H. AU - Schumacher, M. PY - 2008 DA - 2008// TI - Allowing for Mandatory Covariates in Boosting Estimation of Sparse High-Dimensional Survival Models JO - BMC Bioinformatics VL - 9 UR - https://doi.org/10.1186/1471-2105-9-14 DO - 10.1186/1471-2105-9-14 ID - Binder2008 ER - TY - JOUR AU - Tutz, G. AU - Binder, H. PY - 2006 DA - 2006// TI - Generalized Additive Modelling with Implicit Variable Selection by Likelihood Based Boosting JO - Biometrics VL - 62 UR - https://doi.org/10.1111/j.1541-0420.2006.00578.x DO - 10.1111/j.1541-0420.2006.00578.x ID - Tutz2006 ER - TY - CHAP AU - McCullagh, P. AU - Nelder, J. A. PY - 1989 DA - 1989// BT - Generalized Linear Models PB - Hall CY - London, U.K. UR - https://doi.org/10.1007/978-1-4899-3242-6 DO - 10.1007/978-1-4899-3242-6 ID - McCullagh1989 ER - TY - CHAP AU - Freund, Y. AU - Schapire, R. E. PY - 1996 DA - 1996// TI - Experiments with a new boosting algorithm BT - Machine Learning: Proc. Thirteenth International Conference PB - Morgan Kaufman CY - San Francisco, CA ID - Freund1996 ER - TY - JOUR AU - Friedman, J. H. PY - 2001 DA - 2001// TI - Greedy Function Approximation: A Gradient Boosting Machine JO - The Annals of Statistics VL - 29 UR - https://doi.org/10.1214/aos/1013203451 DO - 10.1214/aos/1013203451 ID - Friedman2001 ER - TY - JOUR AU - Efron, B. AU - Hastie, T. AU - Johnstone, I. AU - Tibshirani, R. PY - 2004 DA - 2004// TI - Least Angle Regression JO - The Annals of Statistics VL - 32 UR - https://doi.org/10.1214/009053604000000067 DO - 10.1214/009053604000000067 ID - Efron2004 ER - TY - JOUR AU - Gerds, T. A. AU - Schumacher, M. PY - 2007 DA - 2007// TI - Efron-type measures of prediction error for survival analysis JO - Biometrics VL - 63 UR - https://doi.org/10.1111/j.1541-0420.2007.00832.x DO - 10.1111/j.1541-0420.2007.00832.x ID - Gerds2007 ER - TY - JOUR AU - Schumacher, M. AU - Binder, H. AU - Gerds, T. A. PY - 2007 DA - 2007// TI - Assessment of Survival Prediction Models Based on Microarray Data JO - Bioinformatics VL - 23 UR - https://doi.org/10.1093/bioinformatics/btm232 DO - 10.1093/bioinformatics/btm232 ID - Schumacher2007 ER - TY - JOUR AU - Binder, H. AU - Schumacher, M. PY - 2008 DA - 2008// TI - Adapting Prediction Error Estimates for Biased Complexity Selection in High-Dimensional Bootstrap Samples JO - Stat Appl Genet Mol Biol VL - 7 ID - Binder2008 ER - TY - JOUR AU - Binder, H. AU - Schumacher, M. PY - 2008 DA - 2008// TI - Comment on 'Network-Constrained Regularization and Variable Selection for Analysis of Genomic Data' JO - Bioinformatics VL - 24 UR - https://doi.org/10.1093/bioinformatics/btn412 DO - 10.1093/bioinformatics/btn412 ID - Binder2008 ER - TY - JOUR AU - Rosenwald, A. AU - Wright, G. AU - Chan, W. C. AU - Connors, J. M. AU - Campo, E. AU - Fisher, R. I. AU - Gascoyna, R. D. AU - Muller-Hermelink, H. K. AU - Smeland, E. B. AU - Staudt, L. M. PY - 2002 DA - 2002// TI - The Use of Molecular Profiling to Predict Survival After Chemotherapy for Diffuse Large-B-cell Lymphoma JO - The New England Journal of Medicine VL - 346 UR - https://doi.org/10.1056/NEJMoa012914 DO - 10.1056/NEJMoa012914 ID - Rosenwald2002 ER - TY - JOUR AU - Irizarry, R. A. AU - Hobbs, B. AU - Collin, F. AU - Beazer-Barclay, Y. D. AU - Antonellis, K. J. AU - Scherf, U. AU - Speed, T. P. PY - 2003 DA - 2003// TI - Exploration, Normalization, and Summaries of High Denisty Oligonucleotide Array Probe Level Data JO - Biostatistics VL - 4 UR - https://doi.org/10.1093/biostatistics/4.2.249 DO - 10.1093/biostatistics/4.2.249 ID - Irizarry2003 ER -