"A New Gene Selection Method Based on Random Subspace Ensemble for Microarray Cancer Classification"

entries per page

Filter:

Showing 1 to 20 of 100 entries

Book	Author(s)	Year	Publisher
Microarray Technology and Cancer Gene Profiling	Simone Mocellin	2007	Springer New York
Gene-Based Therapies for Cancer	Jack A. Roth	2010	Springer New York
High-dimensional Microarray Data Analysis: Cancer Gene Diagnosis and Malignancy Indexes by Microarray	Shuichi Shinmura	1st ed. 2019	Springer Nature Singapore
A non-random sampling method, based on congruences, for "Monte Carlo" problems.	Robert D. Richtmyer	1958	Courant Institute of Mathematical Sciences, New York University
Analyzing Microarray Gene Expression Data	Geoffrey J. McLachlan	2004	John Wiley & Sons
Analyzing microarray gene expression data /	McLachlan, Geoffrey J.,; Do, Kim-Anh,; Ambroise, Christophe,	[2004], ©2004.	Wiley-Interscience,
Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome	Shruti Mishra; Debahuti Mishra and Sandeep Kumar Satpathy	2018	Academic Press
Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations	Oleg Okun, Lambros Skarlas	2011	IGI Global snippet
Analysis of Microarray Gene Expression Data	Mei-Ling Ting Lee	2004	Springer US
Gene Therapy for Cancer	Kelly K. Hunt; Stephan A. Vorburger; Stephen G. Swisher	2007	Humana Press
Microarray gene expression data analysis: a beginner's guide /	Causton, Helen C.; Quackenbush, John.; Brazma, Alvis.	2003.	Blackwell Pub.,
New Theory of Discriminant Analysis After R. Fisher: Advanced Research by the Feature Selection Method for Microarray Data	Shuichi Shinmura	1st ed. 2016	Springer Nature Singapore
New gene therapy and cancer research /	Gustafsson, Wilma B.	c2008.	Nova Biomedical Books,
Cancer: a new method of treatment	Broadbent, William Henry Sir	1866	John Churchill
Cancer: a new method of treatment	Broadbent, W. H. Sir	1866	J. Churchill
Cancer: a new method of treatment	Broadbent, W. H. Sir	1866	John Churchill & Sons
Statistical Analysis of Gene Expression Microarray Data	Terry Speed	2003	Routledge
Advanced analysis of gene expression microarray data	Aidong Zhang	2006	World Scientific
Statistical analysis of gene expression microarray data /	Speed, T. P.	[2003], ©2003.	Chapman & Hall/CRC,
Cancer Gene Networks	Usha Kasid; Robert Clarke	1st ed. 2017	Springer New York
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

entries per page

Filter:

Showing 1 to 20 of 100 entries

Chapter	Author(s)	Book	Book Authors	Year	Publisher
A New Gene Selection Method Based on Random Subspace Ensemble for Microarray Cancer Classification	Giuliano Armano; Camelia Chira; Nima Hatami	Pattern Recognition in Bioinformatics: 6th IAPR International Conference, PRIB 2011, Delft, The Netherlands, November 2-4, 2011, Proceedings	Marco Loog; Lodewyk Wessels; Marcel J. T. Reinders; Dick Ridder	2011	Springer Berlin Heidelberg
A New Gene Selection Method Based on Random Subspace Ensemble for Microarray Cancer Classificati		Pattern Recognition in Bioinformatics: 6th IAPR International Conference, PRIB 2011, Delft, The Netherlands, November 2-4, 2011. Proceedings	Shuzhong Zhang, Kun Wang, Bilian Chen, Xiuzhen Huang (auth.), Marco Loog, Lodewyk Wessels, Marcel J. T. Reinders, Dick de Ridder (eds.)	2011	Springer-Verlag Berlin Heidelberg
A Gene Selection Method for Microarray Data Based on Sampling	Yungho Leu; Chien-Pang Lee; Hui-Yi Tsai	Computational Collective Intelligence. Technologies and Applications: Second International Conference, ICCCI 2010, Kaohsiung, Taiwan, November 10-12, 2010. Proceedings, Part II	Jeng-Shyang Pan; Shyi-Ming Chen; Ngoc-Thanh Nguyen	2010	Springer Berlin Heidelberg
Random Forest for Gene Selection and Microarray Data Classification	Kohbalan Moorthy; Mohd Saberi Mohamad	Knowledge Technology: Third Knowledge Technology Week, KTW 2011, Kajang, Malaysia, July 18-22, 2011. Revised Selected Papers	Dickson Lukose; Abdul Rahim Ahmad; Azizah Suliman	2012	Springer Berlin Heidelberg
A Novel Discretization Method for Microarray-Based Cancer Classification	Ding Li; Rui Li; Hong-Qiang Wang	Intelligent Computing Technology: 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012, Proceedings	De-Shuang Huang; Changjun Jiang; Vitoantonio Bevilacqua; Juan Carlos Figueroa	1st ed. 2012	Springer Berlin Heidelberg
Multiple Gene Sets for Cancer Classification Using Gene Range Selection Based on Random Forest	Kohbalan Moorthy; Mohd Saberi Bin Mohamad; Safaai Deris	Intelligent Information and Database Systems: 5th Asian Conference, ACIIDS 2013, Kuala Lumpur, Malaysia, March 18-20, 2013, Proceedings, Part I	Ali Selamat; Ngoc Thanh Nguyen; Habibollah Haron	2013	Springer Berlin Heidelberg
Robust Ensemble Learning for Cancer Diagnosis Based on Microarray Data Classification	Yonghong Peng	Advanced Data Mining and Applications: First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005, Proceedings	Xue Li; Shuliang Wang; Zhao Yang Dong	2005	Springer Berlin Heidelberg
A Novel Method for Gene Selection and Cancer Classification	Huajun Yan; Zhang Yi	Advances in Neural Networks - ISNN 2004: International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part II	Fuliang Yin; Jun Wang; Chengan Guo	2004	Springer Berlin Heidelberg
Gene Selection for Cancer Classification through Ensemble of Methods	Artur Wilinski; Stanislaw Osowski; Krzysztof Siwek	Adaptive and Natural Computing Algorithms: 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers	Ville Kolehmainen; Pekka Toivanen; Bartlomiej Beliczynski	2009	Springer Berlin Heidelberg
A Comparative Study of Gene Selection Methods for Microarray Cancer Classification	Hala Alshamlan; Ghada Badr; Yousef Alohali	Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015)	Jemal H. Abawajy; Mohamed Othman; Rozaida Ghazali; Mustafa Mat Deris; Hairulnizam Mahdin; Tutut Herawan	1st ed. 2019	Springer Nature Singapore
A New Gene Selection Method for Microarray Data Based on PSO and Informativeness Metric	Jian Guan; Fei Han; Shanxiu Yang	Intelligent Computing Theories and Technology: 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings	De-Shuang Huang; Kang-Hyun Jo; Yong-Quan Zhou; Kyungsook Han	2013	Springer Berlin Heidelberg
Feature Selection Combined with Random Subspace Ensemble for Gene Expression Based Diagnosis of Malignancies	Alberto Bertoni; Raffaella Folgieri; Giorgio Valentini	Biological and Artificial Intelligence Environments	Bruno Apolloni; Maria Marinaro; Roberto Tagliaferri	2005	Springer Netherlands
Virtual Gene: A Gene Selection Algorithm for Sample Classification on Microarray Datasets	Xian Xu; Aidong Zhang	Computational Science -- ICCS 2005: 5th International Conference, Atlanta, GA, USA, May 22-25, 2005, Proceedings, Part II	Vaidy S. Sunderam; Geert Dick Albada; Peter M. A. Sloot; Jack J. Dongarra	2005	Springer Berlin Heidelberg
Random Subspace Classification		Matlab. Statistics and Machine Learning Toolbox. User's Guide		2021	MathWorks
Random Subspace Classification		MATLAB Statistics and Machine Learning Toolbox™ User's Guide	The MathWorks, Inc.	2020	The MathWorks, Inc.
Microarray-Based Cancer Prediction Using Single-Gene Ensemble Classifier	Ziyi Yang; Yanqiong Ren; Hui Zhang; Yong Liang	Intelligence Science and Big Data Engineering: 8th International Conference, IScIDE 2018, Lanzhou, China, August 18–19, 2018, Revised Selected Papers	Yuxin Peng; Kai Yu; Jiwen Lu; Xingpeng Jiang	1st ed. 2018	Springer International Publishing
Random Subspace Method		Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Random Subspace Method		Encyclopedia of Machine Learning	Claude Sammut; Geoffrey I. Webb	2010	Springer US
An Iterative GASVM-Based Method: Gene Selection and Classification of Microarray Data	Mohd Saberi Mohamad; Sigeru Omatu; Safaai Deris; Michifumi Yoshioka	Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living: 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops, Salamanca, Spain, June 10-12, 2009. Proceedings, Part II	Sigeru Omatu; Miguel P. Rocha; Jose Bravo; Florentino Fdez Riverola; Emilio Corchado; Andrés Bustillo; Juan Manuel Corchado Rodríguez	2009	Springer Berlin Heidelberg
On the Effectiveness of Gene Selection for Microarray Classification Methods	Zhongwei Zhang; Jiuyong Li; Hong Hu; Hong Zhou	Intelligent Information and Database Systems: Second International Conference, ACIIDS 2010, Hue City, Vietnam, March 24-26, 2010, Proceedings, Part II	Manh Thanh Le; Jerzy Swiatek; Ngoc Thanh Nguyen	2010	Springer Berlin Heidelberg
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

"A New Gene Selection Method Based on Random Subspace Ensemble for Microarray Cancer Classification" - similar Books and Chapters