〔1〕Alon U,Barkai N,Notterman D A,et al. Broad patterns of
gene expression revealed by clustering analysis of tumor
and normal colon tissues probed by oligonucleotide ar?
rays〔J〕. Proc Natl Acad Sci,1999,96:6745-6750.
〔2〕Pearson K. On lines and planes of closest fit to systems of
points in space〔J〕. Philosophical Magazine,1901,2(6):
559-572.
〔3〕Li K C. Sliced inverse regression for dimension reduc?
tion〔J〕. Journal of the American Statistical Association,
1991,86:316-327.
〔4〕Xia Yingcun,Tong Howell,Li W K. An adaptive estimation
of dimension reduction space〔J〕. Journal of the Royal Sta?
tistical Society:Series B(Statistical Methodology),2002,
64(3):363–410.
〔5〕Tibshirani R. Regression shrinkage and selection via the
lasso〔J〕. J Royal Statist Soc B,1996,58(1):267-288.
〔6〕Zhou Hui. The Adaptive Lasso and Its Oracle Proper?
ties〔J〕. Journal of the American Statistical Association,
2006,101(476):1418-1429.
〔7〕Fan J,Li R. Variable selection via nonconcave penalized
likelihood and its oracle properties〔J〕. J Amer Statist Assoc,
2001,96:1348-1360.
〔8〕Noah S,Jerome F,Trevor H,et al. A sparse-group lass〔J〕.
Journal of Computational and Graphical Statistics,2013,22
(2):231-245.
〔9〕Efron B,Hastie T J,Johnstone I,et al. Least Angle Re?
gression〔J〕. Annals of Statistics,2004,32(2):407-499.
〔10〕李杰,邓丽君,唐胜男. 基于BB—SIR方法的结肠癌特征基
因提取〔J〕. 世界科技研究与发展,2011,33(4):588-591.
〔11〕张靖,胡学钢,李培培,等. 基于迭代Lasso的肿瘤分类
信息基因选择方法研究〔J〕. 模式识别与人工智能,
2014,27(1):49-59.