A Sparse-Modeling Based Approach for Class Specific Feature Selection

[1]  Isabelle Guyon,et al.  An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..

[2]  Brian C. Ross.  Mutual Information between Discrete and Continuous Data Sets , 2014, PloS one.

[3]  M. Friedman.  The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance , 1937 .

[4]  T. Poggio,et al.  Multiclass cancer diagnosis using tumor gene expression signatures , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[5]  David H. Wolpert,et al.  No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..

[6]  M. Elad,et al.  $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.

[7]  Angelo Ciaramella,et al.  Packet loss recovery in audio multimedia streaming by using compressive sensing , 2016, IET Commun..

[8]  Antonino Staiano,et al.  A multilayer perceptron neural network-based approach for the identification of responsiveness to interferon therapy in multiple sclerosis patients , 2010, Inf. Sci..

[9]  Paolo Vineis,et al.  Methylome Analysis and Epigenetic Changes Associated with Menarcheal Age , 2013, PloS one.

[10]  R. Tibshirani.  Regression Shrinkage and Selection via the Lasso , 1996 .

[11]  I. Jolliffe.  Principal Component Analysis and Factor Analysis , 1986 .

[12]  A. Kraskov,et al.  Estimating mutual information. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[13]  Pedro Larrañaga,et al.  A review of feature selection techniques in bioinformatics , 2007, Bioinform..

[14]  Nitesh V. Chawla,et al.  SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..

[15]  Michele Pinelli,et al.  Interactive data analysis and clustering of genomic data , 2008, Neural Networks.

[16]  M. Xiong,et al.  Biomarker Identification by Feature Wrappers , 2022 .

[17]  Antonino Staiano,et al.  Statistical and Computational Methods for Genetic Diseases: An Overview , 2015, Comput. Math. Methods Medicine.

[18]  O. J. Dunn.  Multiple Comparisons among Means , 1961 .

[19]  Antonino Staiano,et al.  Investigation of Single Nucleotide Polymorphisms Associated to Familial Combined Hyperlipidemia with Random Forests , 2012, WIRN.

[20]  Jugal K. Kalita,et al.  MIFS-ND: A mutual information-based feature selection method , 2014, Expert Syst. Appl..

[21]  E. Lander,et al.  Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[22]  J. Mesirov,et al.  Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.

[23]  Ash A. Alizadeh,et al.  Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling , 2000, Nature.

[24]  R. Abseher,et al.  Microarray gene expression profiling of B-cell chronic lymphocytic leukemia subgroups defined by genomic aberrations and VH mutation status. , 2004, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[25]  Antonino Staiano,et al.  Association of USF1 and APOA5 polymorphisms with familial combined hyperlipidemia in an Italian population. , 2015, Molecular and cellular probes.

[26]  J. Welsh,et al.  Molecular classification of human carcinomas by use of gene expression signatures. , 2001, Cancer research.

[27]  Janez Demsar,et al.  Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..

[28]  José Francisco Martínez Trinidad,et al.  General framework for class-specific feature selection , 2011, Expert Syst. Appl..

[29]  T. Golub,et al.  Gene expression-based classification of malignant gliomas correlates better with survival than histological classification. , 2003, Cancer research.

[30]  H. Zou,et al.  Regularization and variable selection via the elastic net , 2005 .

[31]  Z. Szallasi,et al.  Reliability and reproducibility issues in DNA microarray measurements. , 2006, Trends in genetics : TIG.

[32]  Jianzhong Li,et al.  A stable gene selection in microarray data analysis , 2006, BMC Bioinformatics.

[33]  Guy Lapalme,et al.  A systematic analysis of performance measures for classification tasks , 2009, Inf. Process. Manag..

[34]  Angelo Ciaramella,et al.  Compressive sampling and adaptive dictionary learning for the packet loss recovery in audio multimedia streaming , 2016, Multimedia Tools and Applications.

[35]  Wotao Yin,et al.  Parallel Multi-Block ADMM with o(1 / k) Convergence , 2013, Journal of Scientific Computing.

[36]  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.