Group classification based on high-dimensional data: application to differential scanning calorimetry plasma thermogram analysis of cervical cancer and control samples
暂无分享,去创建一个
Jonathan B. Chaires | Alexander C. Cambon | Shesh N. Rai | Jianmin Pan | S. Rai | J. Chaires | Jianmin Pan | N. Garbett | A. Cambon | Nichola C. Garbett
[1] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[2] J. Chaires,et al. Calorimetric analysis of the plasma proteome. , 2007, Seminars in nephrology.
[3] Jian Li,et al. Iterative RELIEF for feature weighting , 2006, ICML.
[4] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[5] J. Chaires,et al. Interrogation of the plasma proteome with differential scanning calorimetry. , 2007, Clinical chemistry.
[6] J. Chaires,et al. Calorimetry outside the box: a new window into the plasma proteome. , 2008, Biophysical journal.
[7] J. Chaires,et al. Differential scanning calorimetry of blood plasma for clinical diagnosis and monitoring. , 2009, Experimental and molecular pathology.
[8] Li Liu,et al. Improved breast cancer prognosis through the combination of clinical and genetic markers , 2007, Bioinform..
[9] Thomas G. Dietterich. Machine-Learning Research Four Current Directions , 1997 .
[10] Jason Fine,et al. Sample size for positive and negative predictive value in diagnostic research using case-control designs. , 2008, Biostatistics.
[11] Larry A. Rendell,et al. A Practical Approach to Feature Selection , 1992, ML.
[12] Jae Won Lee,et al. An extensive comparison of recent classification tools applied to microarray data , 2004, Comput. Stat. Data Anal..