Maximum Distance Minimum Error (MDME): A non-parametric approach to feature selection for image-based high content screening data
暂无分享,去创建一个
[1] Kewei Cheng,et al. Feature Selection , 2016, ACM Comput. Surv..
[2] Huan Liu,et al. Cell analytics in compound hit selection of bacterial inhibitors , 2015, 2015 IEEE International Conference on Big Data (Big Data).
[3] Anne E Carpenter,et al. Increasing the Content of High-Content Screening , 2014, Journal of biomolecular screening.
[4] M. McHugh,et al. The Chi-square test of independence , 2013, Biochemia medica.
[5] M. Gerritsen,et al. High-Content, High-Throughput Analysis of Cell Cycle Perturbations Induced by the HSP90 Inhibitor XL888 , 2011, PloS one.
[6] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[7] Julie Gorenstein,et al. Reducing the multidimensionality of high-content screening into versatile powerful descriptors. , 2010, BioTechniques.
[8] S. Bowling,et al. A Logistic Approximation to The Cumulative Normal Distribution , 2009 .
[9] Robert Nadon,et al. Statistical practice in high-throughput screening data analysis , 2006, Nature Biotechnology.
[10] Lani F. Wu,et al. Multidimensional Drug Profiling By Automated Microscopy , 2004, Science.
[11] Fuhui Long,et al. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Huan Liu,et al. Discretization: An Enabling Technique , 2002, Data Mining and Knowledge Discovery.
[13] W. Stahel,et al. Log-normal Distributions across the Sciences: Keys and Clues , 2001 .
[14] F. Lampariello,et al. On the use of the Kolmogorov-Smirnov statistical test for immunofluorescence histogram comparison. , 2000, Cytometry.
[15] Thomas D. Y. Chung,et al. A Simple Statistical Parameter for Use in Evaluation and Validation of High Throughput Screening Assays , 1999, Journal of biomolecular screening.
[16] Yiming Yang,et al. A Comparative Study on Feature Selection in Text Categorization , 1997, ICML.
[17] Huan Liu,et al. Chi2: feature selection and discretization of numeric attributes , 1995, Proceedings of 7th IEEE International Conference on Tools with Artificial Intelligence.
[18] Usama M. Fayyad,et al. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning , 1993, IJCAI.
[19] I. Gibson. Statistics and Data Analysis in Geology , 1976, Mineralogical Magazine.
[20] S. Wright. THE INTERPRETATION OF POPULATION STRUCTURE BY F‐STATISTICS WITH SPECIAL REGARD TO SYSTEMS OF MATING , 1965 .
[21] K Subrahmanyam,et al. A Modified KS-test for Feature Selection , 2013 .
[22] Marcin Blachnik,et al. Feature Selection for Supervised Classification : A Kolmogorov-Smirnov Class Correlation-Based Filter , 2009 .
[23] David G. Stork,et al. Pattern Classification (2nd ed.) , 1999 .
[24] N. Schork,et al. On the asymmetry of biological frequency distributions , 1990, Genetic epidemiology.