References
- Bhattacharjee, A., Richards, W.G., Staunton, J., Li, C., Monti, S., Vasa, P., Ladd, C., Beheshti, J., Bueno, R, Gillette, M., Loda, M., Weber, G., Mark, E.J., Lander, E.S., Wong, W., Johnson, B.E., GolUb, T.R, Sugarbaker, D.J., and Meyerson, M. (2001). Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses. Proc. Natl. Acad. Sci. USA 98, 13790-13795
- Cox, D.R (1972). Regression models and life tables (with discussion). J.R. Stat. Soc. B. 34, 187-202
- Friedman, J.H. and Popescue, B.E. (2004). Gradient directed regularization for linear regression and classification. Technical report, Department of Statistics, Stanford University. http://www-stat.stanford.edul-jhf/PathSeeker. html
- Gui, J. and Li, H. (2005). Threshold gradient descent method for censored data regression with applications in pharmacogenomics. Proc. Pac. Symp. Biocomput. 10,272-283
- Hastie, T and Tibshirani, R (1990). Generalized Additive Models. Chapman and Hall
- Ma, S. and Huang, J. (2007). Clustering threshold gradient descent regularization: with applications to microarray studies. Bioinformatics 23,466-472 https://doi.org/10.1093/bioinformatics/btl632
- Tamayo, P., Slonim, D., Mesirov, J., Zhu, Q., Kitareewan, S., Dmitrovsky, E., Lander, E.S., and Golub, T.R. (1999). Interpreting patterns of gene expression with selforganizing maps: Methods and application to hermatopoetic differentiation. Proc. Natl. Acad. Sci. USA 96, 2907-2912
- Tibshirani, R (1996). Regression shrinkage and selection via the lasso. J.R. Stat. Soc., B. 58, 267-288
- Tibshirani, R. (1997). The lasso method for variable selection in the Cox model. Stat. in Med. 16, 385-395 https://doi.org/10.1002/(SICI)1097-0258(19970228)16:4<385::AID-SIM380>3.0.CO;2-3