Feature selection (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Feature selection" in English language version.

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aaai.org

Yu, Lei; Liu, Huan (August 2003). "Feature selection for high-dimensional data: a fast correlation-based filter solution" (PDF). ICML'03: Proceedings of the Twentieth International Conference on International Conference on Machine Learning: 856–863.

acm.org

dl.acm.org

García-Torres, Miguel; Gómez-Vela, Francisco; Divina, Federico; Pinto-Roa, Diego P.; Noguera, José Luis Vázquez; Román, Julio C. Mello (2021). "Scatter search for high-dimensional feature selection using feature grouping". Proceedings of the Genetic and Evolutionary Computation Conference Companion. pp. 149–150. doi:10.1145/3449726.3459481. ISBN 9781450383516. S2CID 235770316.
Brown, Gavin; Pocock, Adam; Zhao, Ming-Jie; Luján, Mikel (2012). "Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection". Journal of Machine Learning Research. 13: 27–66.[1]

archives-ouvertes.fr

tel.archives-ouvertes.fr

Hamon, Julie (November 2013). Optimisation combinatoire pour la sélection de variables en régression en grande dimension: Application en génétique animale (Thesis) (in French). Lille University of Science and Technology.

arxiv.org

Hinkle, Jacob; Muralidharan, Prasanna; Fletcher, P. Thomas; Joshi, Sarang (2012). "Polynomial Regression on Riemannian Manifolds". In Fitzgibbon, Andrew; Lazebnik, Svetlana; Perona, Pietro; Sato, Yoichi; Schmid, Cordelia (eds.). Computer Vision – ECCV 2012. Lecture Notes in Computer Science. Vol. 7574. Berlin, Heidelberg: Springer. pp. 1–14. arXiv:1201.2395. doi:10.1007/978-3-642-33712-3_1. ISBN 978-3-642-33712-3. S2CID 8849753.
Yarotsky, Dmitry (2021-04-30). "Universal Approximations of Invariant Maps by Neural Networks". Constructive Approximation. 55: 407–474. arXiv:1804.10306. doi:10.1007/s00365-021-09546-1. ISSN 1432-0940. S2CID 13745401.
Urbanowicz, Ryan J.; Meeker, Melissa; LaCava, William; Olson, Randal S.; Moore, Jason H. (2018). "Relief-Based Feature Selection: Introduction and Review". Journal of Biomedical Informatics. 85: 189–203. arXiv:1711.08421. doi:10.1016/j.jbi.2018.07.014. PMC 6299836. PMID 30031057.
Hazimeh, Hussein; Mazumder, Rahul; Saab, Ali (2020). "Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization". arXiv:2004.06152 [stat.CO].
Kraskov, Alexander; Stögbauer, Harald; Andrzejak, Ralph G; Grassberger, Peter (2003). "Hierarchical Clustering Based on Mutual Information". arXiv:q-bio/0311039. Bibcode:2003q.bio....11039K. {{cite journal}}: Cite journal requires |journal= (help)
Yamada, M.; Jitkrittum, W.; Sigal, L.; Xing, E. P.; Sugiyama, M. (2014). "High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso". Neural Computation. 26 (1): 185–207. arXiv:1202.0515. doi:10.1162/NECO_a_00537. PMID 24102126. S2CID 2742785.
H. Deng, G. Runger, "Feature Selection via Regularized Trees", Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), IEEE, 2012
Das, Abhimanyu; Kempe, David (2011). "Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection". arXiv:1102.3975 [stat.ML].

books.google.com

Burnham, K. P.; Anderson, D. R. (2002), Model Selection and Multimodel Inference: A practical information-theoretic approach (2nd ed.), Springer-Verlag, ISBN 9780387953649.

doi.org

Brank, Janez; Mladenić, Dunja; Grobelnik, Marko; Liu, Huan; Mladenić, Dunja; Flach, Peter A.; Garriga, Gemma C.; Toivonen, Hannu; Toivonen, Hannu (2011), "Feature Selection", in Sammut, Claude; Webb, Geoffrey I. (eds.), Encyclopedia of Machine Learning, Boston, MA: Springer US, pp. 402–406, doi:10.1007/978-0-387-30164-8_306, ISBN 978-0-387-30768-8, retrieved 2021-07-13
Kramer, Mark A. (1991). "Nonlinear principal component analysis using autoassociative neural networks". AIChE Journal. 37 (2): 233–243. Bibcode:1991AIChE..37..233K. doi:10.1002/aic.690370209. ISSN 1547-5905.
Persello, Claudio; Bruzzone, Lorenzo (July 2014). "Relevant and invariant feature selection of hyperspectral images for domain generalization". 2014 IEEE Geoscience and Remote Sensing Symposium (PDF). IEEE. pp. 3562–3565. doi:10.1109/igarss.2014.6947252. ISBN 978-1-4799-5775-0. S2CID 8368258.
Hinkle, Jacob; Muralidharan, Prasanna; Fletcher, P. Thomas; Joshi, Sarang (2012). "Polynomial Regression on Riemannian Manifolds". In Fitzgibbon, Andrew; Lazebnik, Svetlana; Perona, Pietro; Sato, Yoichi; Schmid, Cordelia (eds.). Computer Vision – ECCV 2012. Lecture Notes in Computer Science. Vol. 7574. Berlin, Heidelberg: Springer. pp. 1–14. arXiv:1201.2395. doi:10.1007/978-3-642-33712-3_1. ISBN 978-3-642-33712-3. S2CID 8849753.
Yarotsky, Dmitry (2021-04-30). "Universal Approximations of Invariant Maps by Neural Networks". Constructive Approximation. 55: 407–474. arXiv:1804.10306. doi:10.1007/s00365-021-09546-1. ISSN 1432-0940. S2CID 13745401.
Hauberg, Søren; Lauze, François; Pedersen, Kim Steenstrup (2013-05-01). "Unscented Kalman Filtering on Riemannian Manifolds". Journal of Mathematical Imaging and Vision. 46 (1): 103–120. Bibcode:2013JMIV...46..103H. doi:10.1007/s10851-012-0372-9. ISSN 1573-7683. S2CID 8501814.
Kratsios, Anastasis; Hyndman, Cody (June 8, 2021). "NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation". Journal of Machine Learning Research. 22: 10312. Bibcode:2015NatSR...510312B. doi:10.1038/srep10312. PMC 4437376. PMID 25988841.
Urbanowicz, Ryan J.; Meeker, Melissa; LaCava, William; Olson, Randal S.; Moore, Jason H. (2018). "Relief-Based Feature Selection: Introduction and Review". Journal of Biomedical Informatics. 85: 189–203. arXiv:1711.08421. doi:10.1016/j.jbi.2018.07.014. PMC 6299836. PMID 30031057.
Yishi Zhang; Shujuan Li; Teng Wang; Zigang Zhang (2013). "Divergence-based feature selection for separate classes". Neurocomputing. 101 (4): 32–42. doi:10.1016/j.neucom.2012.06.036.
Guyon I.; Weston J.; Barnhill S.; Vapnik V. (2002). "Gene selection for cancer classification using support vector machines". Machine Learning. 46 (1–3): 389–422. doi:10.1023/A:1012487302797.
Bach, Francis R (2008). "Bolasso". Proceedings of the 25th international conference on Machine learning - ICML '08. pp. 33–40. doi:10.1145/1390156.1390161. ISBN 9781605582054. S2CID 609778.
Zare, Habil (2013). "Scoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosis". BMC Genomics. 14 (Suppl 1): S14. doi:10.1186/1471-2164-14-S1-S14. PMC 3549810. PMID 23369194.
Soufan, Othman; Kleftogiannis, Dimitrios; Kalnis, Panos; Bajic, Vladimir B. (2015-02-26). "DWFS: A Wrapper Feature Selection Tool Based on a Parallel Genetic Algorithm". PLOS ONE. 10 (2): e0117988. Bibcode:2015PLoSO..1017988S. doi:10.1371/journal.pone.0117988. ISSN 1932-6203. PMC 4342225. PMID 25719748.
Figueroa, Alejandro (2015). "Exploring effective features for recognizing the user intent behind web queries". Computers in Industry. 68: 162–169. doi:10.1016/j.compind.2015.01.005.
Figueroa, Alejandro; Guenter Neumann (2014). "Category-specific models for ranking effective paraphrases in community Question Answering". Expert Systems with Applications. 41 (10): 4730–4742. doi:10.1016/j.eswa.2014.02.004. hdl:10533/196878.
Zhang, Y.; Wang, S.; Phillips, P. (2014). "Binary PSO with Mutation Operator for Feature Selection using Decision Tree applied to Spam Detection". Knowledge-Based Systems. 64: 22–31. doi:10.1016/j.knosys.2014.03.015.
García-Torres, Miguel; Gómez-Vela, Francisco; Divina, Federico; Pinto-Roa, Diego P.; Noguera, José Luis Vázquez; Román, Julio C. Mello (2021). "Scatter search for high-dimensional feature selection using feature grouping". Proceedings of the Genetic and Evolutionary Computation Conference Companion. pp. 149–150. doi:10.1145/3449726.3459481. ISBN 9781450383516. S2CID 235770316.
Einicke, G. A. (2018). "Maximum-Entropy Rate Selection of Features for Classifying Changes in Knee and Ankle Dynamics During Running". IEEE Journal of Biomedical and Health Informatics. 28 (4): 1097–1103. doi:10.1109/JBHI.2017.2711487. hdl:10810/68978. PMID 29969403. S2CID 49555941.
Peng, H. C.; Long, F.; Ding, C. (2005). "Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy". IEEE Transactions on Pattern Analysis and Machine Intelligence. 27 (8): 1226–1238. CiteSeerX 10.1.1.63.5765. doi:10.1109/TPAMI.2005.159. PMID 16119262. S2CID 206764015. Program
Yamada, M.; Jitkrittum, W.; Sigal, L.; Xing, E. P.; Sugiyama, M. (2014). "High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso". Neural Computation. 26 (1): 185–207. arXiv:1202.0515. doi:10.1162/NECO_a_00537. PMID 24102126. S2CID 2742785.
Senliol, Baris; et al. (2008). "Fast Correlation Based Filter (FCBF) with a different search strategy". 2008 23rd International Symposium on Computer and Information Sciences. pp. 1–4. doi:10.1109/ISCIS.2008.4717949. ISBN 978-1-4244-2880-9. S2CID 8398495.
Saghapour, E.; Kermani, S.; Sehhati, M. (2017). "A novel feature ranking method for prediction of cancer stages using proteomics data". PLOS ONE. 12 (9): e0184203. Bibcode:2017PLoSO..1284203S. doi:10.1371/journal.pone.0184203. PMC 5608217. PMID 28934234.
Shah, S. C.; Kusiak, A. (2004). "Data mining and genetic algorithm based gene/SNP selection". Artificial Intelligence in Medicine. 31 (3): 183–196. doi:10.1016/j.artmed.2004.04.002. PMID 15302085.
Long, N.; Gianola, D.; Weigel, K. A (2011). "Dimension reduction and variable selection for genomic selection: application to predicting milk yield in Holsteins". Journal of Animal Breeding and Genetics. 128 (4): 247–257. doi:10.1111/j.1439-0388.2011.00917.x. PMID 21749471.
Üstünkar, Gürkan; Özöğür-Akyüz, Süreyya; Weber, Gerhard W.; Friedrich, Christoph M.; Aydın Son, Yeşim (2012). "Selection of representative SNP sets for genome-wide association studies: A metaheuristic approach". Optimization Letters. 6 (6): 1207–1218. doi:10.1007/s11590-011-0419-7. S2CID 8075318.
Meiri, R.; Zahavi, J. (2006). "Using simulated annealing to optimize the feature selection problem in marketing applications". European Journal of Operational Research. 171 (3): 842–858. doi:10.1016/j.ejor.2004.09.010.
Kapetanios, G. (2007). "Variable Selection in Regression Models using Nonstandard Optimisation of Information Criteria". Computational Statistics & Data Analysis. 52 (1): 4–15. doi:10.1016/j.csda.2007.04.006.
Broadhurst, D.; Goodacre, R.; Jones, A.; Rowland, J. J.; Kell, D. B. (1997). "Genetic algorithms as a method for variable selection in multiple linear regression and partial least squares regression, with applications to pyrolysis mass spectrometry". Analytica Chimica Acta. 348 (1–3): 71–86. Bibcode:1997AcAC..348...71B. doi:10.1016/S0003-2670(97)00065-2.
Chuang, L.-Y.; Yang, C.-H. (2009). "Tabu search and binary particle swarm optimization for feature selection using microarray data". Journal of Computational Biology. 16 (12): 1689–1703. doi:10.1089/cmb.2007.0211. PMID 20047491.
Aitken, S. (2005). "Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes". BMC Bioinformatics. 6 (1): 148. doi:10.1186/1471-2105-6-148. PMC 1181625. PMID 15958165.
Oh, I. S.; Moon, B. R. (2004). "Hybrid genetic algorithms for feature selection". IEEE Transactions on Pattern Analysis and Machine Intelligence. 26 (11): 1424–1437. CiteSeerX 10.1.1.467.4179. doi:10.1109/tpami.2004.105. PMID 15521491.
Xuan, P.; Guo, M. Z.; Wang, J.; Liu, X. Y.; Liu, Y. (2011). "Genetic algorithm-based efficient feature selection for classification of pre-miRNAs". Genetics and Molecular Research. 10 (2): 588–603. doi:10.4238/vol10-2gmr969. PMID 21491369.
Peng, S. (2003). "Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines". FEBS Letters. 555 (2): 358–362. Bibcode:2003FEBSL.555..358P. doi:10.1016/s0014-5793(03)01275-4. PMID 14644442.
Hernandez, J. C. H.; Duval, B.; Hao, J.-K. (2007). "A Genetic Embedded Approach for Gene Selection and Classification of Microarray Data". Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics. EvoBIO 2007. Lecture Notes in Computer Science. Vol. 4447. Berlin: Springer Verlag. pp. 90–101. doi:10.1007/978-3-540-71783-6_9. ISBN 978-3-540-71782-9.
Huerta, E. B.; Duval, B.; Hao, J.-K. (2006). "A Hybrid GA/SVM Approach for Gene Selection and Classification of Microarray Data". Applications of Evolutionary Computing. EvoWorkshops 2006. Lecture Notes in Computer Science. Vol. 3907. pp. 34–44. doi:10.1007/11732242_4. ISBN 978-3-540-33237-4.
Muni, D. P.; Pal, N. R.; Das, J. (2006). "Genetic programming for simultaneous feature selection and classifier design". IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics. 36 (1): 106–117. doi:10.1109/TSMCB.2005.854499. PMID 16468570. S2CID 2073035.
Jourdan, L.; Dhaenens, C.; Talbi, E.-G. (2005). "Linkage disequilibrium study with a parallel adaptive GA". International Journal of Foundations of Computer Science. 16 (2): 241–260. doi:10.1142/S0129054105002978.
Zhang, Y.; Dong, Z.; Phillips, P.; Wang, S. (2015). "Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning". Frontiers in Computational Neuroscience. 9: 66. doi:10.3389/fncom.2015.00066. PMC 4451357. PMID 26082713.
Roffo, G.; Melzi, S.; Cristani, M. (2015-12-01). "Infinite Feature Selection". 2015 IEEE International Conference on Computer Vision (ICCV). pp. 4202–4210. doi:10.1109/ICCV.2015.478. ISBN 978-1-4673-8391-2. S2CID 3223980.
Sun, Y.; Todorovic, S.; Goodison, S. (2010). "Local-Learning-Based Feature Selection for High-Dimensional Data Analysis". IEEE Transactions on Pattern Analysis and Machine Intelligence. 32 (9): 1610–1626. doi:10.1109/tpami.2009.190. PMC 3445441. PMID 20634556.

dx.doi.org

Persello, Claudio; Bruzzone, Lorenzo (July 2014). "Relevant and invariant feature selection of hyperspectral images for domain generalization". 2014 IEEE Geoscience and Remote Sensing Symposium (PDF). IEEE. pp. 3562–3565. doi:10.1109/igarss.2014.6947252. ISBN 978-1-4799-5775-0. S2CID 8368258.

dtic.mil

apps.dtic.mil

Akaike, H. (1985), "Prediction and entropy", in Atkinson, A. C.; Fienberg, S. E. (eds.), A Celebration of Statistics (PDF), Springer, pp. 1–24, archived (PDF) from the original on August 30, 2019.

handle.net

hdl.handle.net

Figueroa, Alejandro; Guenter Neumann (2014). "Category-specific models for ranking effective paraphrases in community Question Answering". Expert Systems with Applications. 41 (10): 4730–4742. doi:10.1016/j.eswa.2014.02.004. hdl:10533/196878.
Einicke, G. A. (2018). "Maximum-Entropy Rate Selection of Features for Classifying Changes in Knee and Ankle Dynamics During Running". IEEE Journal of Biomedical and Health Informatics. 28 (4): 1097–1103. doi:10.1109/JBHI.2017.2711487. hdl:10810/68978. PMID 29969403. S2CID 49555941.

harvard.edu

ui.adsabs.harvard.edu

Kramer, Mark A. (1991). "Nonlinear principal component analysis using autoassociative neural networks". AIChE Journal. 37 (2): 233–243. Bibcode:1991AIChE..37..233K. doi:10.1002/aic.690370209. ISSN 1547-5905.
Hauberg, Søren; Lauze, François; Pedersen, Kim Steenstrup (2013-05-01). "Unscented Kalman Filtering on Riemannian Manifolds". Journal of Mathematical Imaging and Vision. 46 (1): 103–120. Bibcode:2013JMIV...46..103H. doi:10.1007/s10851-012-0372-9. ISSN 1573-7683. S2CID 8501814.
Kratsios, Anastasis; Hyndman, Cody (June 8, 2021). "NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation". Journal of Machine Learning Research. 22: 10312. Bibcode:2015NatSR...510312B. doi:10.1038/srep10312. PMC 4437376. PMID 25988841.
Soufan, Othman; Kleftogiannis, Dimitrios; Kalnis, Panos; Bajic, Vladimir B. (2015-02-26). "DWFS: A Wrapper Feature Selection Tool Based on a Parallel Genetic Algorithm". PLOS ONE. 10 (2): e0117988. Bibcode:2015PLoSO..1017988S. doi:10.1371/journal.pone.0117988. ISSN 1932-6203. PMC 4342225. PMID 25719748.
Kraskov, Alexander; Stögbauer, Harald; Andrzejak, Ralph G; Grassberger, Peter (2003). "Hierarchical Clustering Based on Mutual Information". arXiv:q-bio/0311039. Bibcode:2003q.bio....11039K. {{cite journal}}: Cite journal requires |journal= (help)
Saghapour, E.; Kermani, S.; Sehhati, M. (2017). "A novel feature ranking method for prediction of cancer stages using proteomics data". PLOS ONE. 12 (9): e0184203. Bibcode:2017PLoSO..1284203S. doi:10.1371/journal.pone.0184203. PMC 5608217. PMID 28934234.
Broadhurst, D.; Goodacre, R.; Jones, A.; Rowland, J. J.; Kell, D. B. (1997). "Genetic algorithms as a method for variable selection in multiple linear regression and partial least squares regression, with applications to pyrolysis mass spectrometry". Analytica Chimica Acta. 348 (1–3): 71–86. Bibcode:1997AcAC..348...71B. doi:10.1016/S0003-2670(97)00065-2.
Peng, S. (2003). "Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines". FEBS Letters. 555 (2): 358–362. Bibcode:2003FEBSL.555..358P. doi:10.1016/s0014-5793(03)01275-4. PMID 14644442.

jmlr.org

Kratsios, Anastasis; Hyndman, Cody (2021). "NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation". Journal of Machine Learning Research. 22 (92): 1–51. ISSN 1533-7928.
Kratsios, Anastasis; Hyndman, Cody (June 8, 2021). "NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation". Journal of Machine Learning Research. 22: 10312. Bibcode:2015NatSR...510312B. doi:10.1038/srep10312. PMC 4437376. PMID 25988841.
Forman, George (2003). "An extensive empirical study of feature selection metrics for text classification" (PDF). Journal of Machine Learning Research. 3: 1289–1305.
Aliferis, Constantin (2010). "Local causal and markov blanket induction for causal discovery and feature selection for classification part I: Algorithms and empirical evaluation" (PDF). Journal of Machine Learning Research. 11: 171–234.
Brown, Gavin; Pocock, Adam; Zhao, Ming-Jie; Luján, Mikel (2012). "Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection". Journal of Machine Learning Research. 13: 27–66.[1]

mit.edu

jmlr.csail.mit.edu

Guyon, Isabelle; Elisseeff, André (2003). "An Introduction to Variable and Feature Selection". JMLR. 3.
Rodriguez-Lujan, I.; Huerta, R.; Elkan, C.; Santa Cruz, C. (2010). "Quadratic programming feature selection" (PDF). JMLR. 11: 1491–1516.

nih.gov

pubmed.ncbi.nlm.nih.gov

Kratsios, Anastasis; Hyndman, Cody (June 8, 2021). "NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation". Journal of Machine Learning Research. 22: 10312. Bibcode:2015NatSR...510312B. doi:10.1038/srep10312. PMC 4437376. PMID 25988841.
Urbanowicz, Ryan J.; Meeker, Melissa; LaCava, William; Olson, Randal S.; Moore, Jason H. (2018). "Relief-Based Feature Selection: Introduction and Review". Journal of Biomedical Informatics. 85: 189–203. arXiv:1711.08421. doi:10.1016/j.jbi.2018.07.014. PMC 6299836. PMID 30031057.
Zare, Habil (2013). "Scoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosis". BMC Genomics. 14 (Suppl 1): S14. doi:10.1186/1471-2164-14-S1-S14. PMC 3549810. PMID 23369194.
Soufan, Othman; Kleftogiannis, Dimitrios; Kalnis, Panos; Bajic, Vladimir B. (2015-02-26). "DWFS: A Wrapper Feature Selection Tool Based on a Parallel Genetic Algorithm". PLOS ONE. 10 (2): e0117988. Bibcode:2015PLoSO..1017988S. doi:10.1371/journal.pone.0117988. ISSN 1932-6203. PMC 4342225. PMID 25719748.
Einicke, G. A. (2018). "Maximum-Entropy Rate Selection of Features for Classifying Changes in Knee and Ankle Dynamics During Running". IEEE Journal of Biomedical and Health Informatics. 28 (4): 1097–1103. doi:10.1109/JBHI.2017.2711487. hdl:10810/68978. PMID 29969403. S2CID 49555941.
Peng, H. C.; Long, F.; Ding, C. (2005). "Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy". IEEE Transactions on Pattern Analysis and Machine Intelligence. 27 (8): 1226–1238. CiteSeerX 10.1.1.63.5765. doi:10.1109/TPAMI.2005.159. PMID 16119262. S2CID 206764015. Program
Yamada, M.; Jitkrittum, W.; Sigal, L.; Xing, E. P.; Sugiyama, M. (2014). "High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso". Neural Computation. 26 (1): 185–207. arXiv:1202.0515. doi:10.1162/NECO_a_00537. PMID 24102126. S2CID 2742785.
T. M. Phuong, Z. Lin et R. B. Altman. Choosing SNPs using feature selection. Archived 2016-09-13 at the Wayback Machine Proceedings / IEEE Computational Systems Bioinformatics Conference, CSB. IEEE Computational Systems Bioinformatics Conference, pages 301-309, 2005. PMID 16447987.
Saghapour, E.; Kermani, S.; Sehhati, M. (2017). "A novel feature ranking method for prediction of cancer stages using proteomics data". PLOS ONE. 12 (9): e0184203. Bibcode:2017PLoSO..1284203S. doi:10.1371/journal.pone.0184203. PMC 5608217. PMID 28934234.
Shah, S. C.; Kusiak, A. (2004). "Data mining and genetic algorithm based gene/SNP selection". Artificial Intelligence in Medicine. 31 (3): 183–196. doi:10.1016/j.artmed.2004.04.002. PMID 15302085.
Long, N.; Gianola, D.; Weigel, K. A (2011). "Dimension reduction and variable selection for genomic selection: application to predicting milk yield in Holsteins". Journal of Animal Breeding and Genetics. 128 (4): 247–257. doi:10.1111/j.1439-0388.2011.00917.x. PMID 21749471.
Chuang, L.-Y.; Yang, C.-H. (2009). "Tabu search and binary particle swarm optimization for feature selection using microarray data". Journal of Computational Biology. 16 (12): 1689–1703. doi:10.1089/cmb.2007.0211. PMID 20047491.
Aitken, S. (2005). "Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes". BMC Bioinformatics. 6 (1): 148. doi:10.1186/1471-2105-6-148. PMC 1181625. PMID 15958165.
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