"Constrained Clustering for Gene Expression Data Mining"

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Book	Author(s)	Year	Publisher
Data Mining for Genomics and Proteomics: Analysisof Gene and Protein Expression Data	Darius M. Dziuda	2010	John Wiley & Sons
Clustering for Data Mining: A Data Recovery Approach	Boris Mirkin	2005	Chapman and Hall/CRC
Clustering for Data Mining: A Data Recovery Approach	Boris Mirkin	2005	Chapman & Hall – CRC
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,
Gene Expression (Gene Expression)	Benjamin Lewin	June 1977	John Wiley & Sons Inc
Analysis of Microarray Gene Expression Data	Mei-Ling Ting Lee	2004	Springer US
Bayesian Analysis of Gene Expression Data	Bani K. Mallick	2009	John Wiley & Sons
Algorithms for Clustering Data	Anil K. Jain, Richard C. Dubes	1988	Prentice Hall College Div
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,
Gene Expression	Brian F. C. Clark; Hans Klenow; Jesper Zeuthen	1978	Pergamon
Gene expression	Benjamin Lewin	1974	Wiley
Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics	Ujjwal Maulik; Sanghamitra Bandyopadhyay; Anirban Mukhopadhyay	2011	Springer Berlin Heidelberg
Data Classification and Incremental Clustering in Data Mining and Machine Learning	Sanjay Chakraborty; Sk Hafizul Islam; Debabrata Samanta	1st ed. 2022	Springer International Publishing
Advances in K-means Clustering: a Data Mining Thinking	Junjie Wu (auth.)	2012	Springer-Verlag Berlin Heidelberg
Advances in K-means Clustering: A Data Mining Thinking	Junjie Wu	2012	Springer Berlin Heidelberg
Microarray gene expression data analysis: a beginner's guide /	Causton, Helen C.; Quackenbush, John.; Brazma, Alvis.	2003.	Blackwell Pub.,
Clustering Methodology for Symbolic Data	Lynne Billard	2019	John Wiley & Sons
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Constrained Clustering for Gene Expression Data Mining	Vincent S. Tseng; Lien-Chin Chen; Ching-Pin Kao	Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia Conference, PAKDD 2008 Osaka, Japan, May 20-23, 2008 Proceedings	Takashi Washio; Einoshin Suzuki; Kai Ming Ting; Akihiro Inokuchi	2008	Springer Berlin Heidelberg
Mining gene expression data	Xiaohui Liu; Paul Kellam	Bioinformatics: genes, proteins and computers	Christine Orengo; David Jones; Janet Thornton	2002	Routledge
Clustering Methods for Gene-Expression Data		Handbook of Research on Systems Biology Applications in Medicine	Andriani Daskalaki	2008	IGI Global
Mining of Gene-Expression Data	Darryl Leon; Scott Markel	In Silico Technologies in Drug Target Identification and Validation	Darryl Leon; Scott Markel	2006	Routledge
Mining of gene-expression data	Aedin Culhane; Alvis Brazma	In silico technologies in drug target identification and validation	Scott Markel	2006	CRC Press
15. Mining gene expression data	Xiaohui Liu; Paul Kellam	Bioinformatics: genes, proteins, and computers	David Jones	2003	BIOS Scientific;Distributed in the U.S. by Springer-Verlag
A Novel Parameter-Less Clustering Method for Mining Gene Expression Data	Vincent Shin-Mu Tseng; Ching-Pin Kao	Advances in Knowledge Discovery and Data Mining: 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings	Honghua Dai; Ramakrishnan Srikant; Chengqi Zhang	2004	Springer Berlin Heidelberg
Chapter 18 Clustering Gene Expression Data		Data clustering: theory, algorithms, and applications	Guojun Gan, Chaoqun Ma, Jianhong Wu	2007	Siam
Clustering time-series gene expression data	Luis Rueda; Ataul Bari	Oligonucleotide array sequence analysis	Martina K. Moretti, Lorenzo J. Rizzo	2008	Nova Science Publishers
Constrained Data Mining		Encyclopedia of Data Warehousing and Mining	John Wang, John Wang	2008	MIX
Gene Expression Data Mining and Analysis	Alvis Brazma; Alan Robinson; Jaak Vilo	DNA Microarrays: Gene Expression Applications	B.R. Jordan	2001	Springer Berlin Heidelberg
810 Mining the Gene Expression Data		Bioinformatics: a computing perspective	Shuba Gopal	2009	MGraw-Hill
Mining DNA Microarray Gene Expression Data	Paolo Magni	Pharmaceutical Data Mining: Approaches and Applications for Drug Discovery	Konstantin V. Balakin	2009	John Wiley & Sons
A Similarity Measure for Clustering Gene Expression Data	Ram Charan Baishya; Rosy Sarmah; Dhruba Kumar Bhattacharyya; Malay Ananda Dutta	Applied Algorithms: First International Conference, ICAA 2014, Kolkata, India, January 13-15, 2014. Proceedings	Prosenjit Gupta; Christos Zaroliagis	2014	Springer International Publishing
A New Approach for Clustering Gene Expression Data	Girish Chandra; Sudhakar Tripathi	Computational Intelligence, Communications, and Business Analytics: First International Conference, CICBA 2017, Kolkata, India, March 24 – 25, 2017, Revised Selected Papers, Part II	J. K. Mandal; Paramartha Dutta; Somnath Mukhopadhyay	1st ed. 2017	Springer Nature Singapore
Data Mining in Pathway Analysis for Gene Expression	Amani AlAjlan; Ghada Badr	Advances in Data Mining: Applications and Theoretical Aspects: 15th Industrial Conference, ICDM 2015, Hamburg, Germany, July 11–24, 2015. Proceedings	Petra Perner	2015	Springer International Publishing
Mining Spatial Gene Expression Data for Association Rules	Jano van Hemert; Richard Baldock	Bioinformatics Research and Development: First International Conference, BIRD 2007, Berlin, Germany, March 12-14, 2007, Proceedings	Sepp Hochreiter; Roland Wagner	2007	Springer Berlin Heidelberg
Mining Gene Expression Data: Patterns Extraction for Gene Regulatory Networks	Manel Gouider; Ines Hamdi; Henda Ben Ghezala	Intelligent Systems Design and Applications: 17th International Conference on Intelligent Systems Design and Applications (ISDA 2017) held in Delhi, India, December 14-16, 2017	Ajith Abraham; Pranab Kr. Muhuri; Azah Kamilah Muda; Niketa Gandhi	1st ed. 2018	Springer International Publishing
Efficiently Mining Gene Expression Data via Integrated Clustering and Validation Techniques	Vincent S. M. Tseng; Ching-Pin Kao	Advances in Knowledge Discovery and Data Mining: 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002. Proceedings	Ming-Syan Cheng; Philip S. Yu; Bing Liu	2002	Springer Berlin Heidelberg
Projection Based Clustering of Gene Expression Data	Sotiris K. Tasoulis; Vassilis P. Plagianakos; Dimitris K. Tasoulis	Computational Intelligence Methods for Bioinformatics and Biostatistics: 6th International Meeting, CIBB 2009, Genoa, Italy, October 15-17, 2009, Revised Selected Papers	Francesco Masulli; Leif Peterson; Roberto Tagliaferri	2010	Springer Berlin Heidelberg
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