"Mining Gene Expression Data: Patterns Extraction for Gene Regulatory Networks"

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Book	Author(s)	Year	Publisher
Gene Regulatory Networks	Isabelle S. Peter	2020	Academic Press
Data Mining for Genomics and Proteomics: Analysisof Gene and Protein Expression Data	Darius M. Dziuda	2010	John Wiley & Sons
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 Regulatory Networks: Methods and Protocols	Bart Deplancke; Nele Gheldof	2012	Humana Press
Gene Regulatory Networks: Methods and Protocols	Guido Sanguinetti; Vân Anh Huynh-Thu	1st ed. 2019	Springer New York
Gene Expression (Gene Expression)	Benjamin Lewin	June 1977	John Wiley & Sons Inc
Plant Gene Regulatory Networks: Methods and Protocols	Kerstin Kaufmann; Bernd Mueller-Roeber	1st ed. 2017	Springer New York
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
Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome	Shruti Mishra; Debahuti Mishra and Sandeep Kumar Satpathy	2018	Academic Press
Computational modeling of gene regulatory networks: a primer	Bolouri, Hamid	2011	Imperial College Press
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
Probabilistic boolean networks: the modeling and control of gene regulatory networks	Ilya Shmulevich	2010	Society for Industrial and Applied Mathematics
Microarray gene expression data analysis: a beginner's guide /	Causton, Helen C.; Quackenbush, John.; Brazma, Alvis.	2003.	Blackwell Pub.,
Data Mining for Co-Location Patterns: Principles and Applications	Guoqing Zhou	2022	Routledge
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
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
Identifying Gene Regulatory Networks from Gene Expression Data	Srinivas Aluru	Handbook of Computational Molecular Biology	Srinivas Aluru	2005	Routledge
Mining gene expression data	Xiaohui Liu; Paul Kellam	Bioinformatics: genes, proteins and computers	Christine Orengo; David Jones; Janet Thornton	2002	Routledge
Inferring Gene Regulatory Networks from Expression Data	Lars Kaderali; Nicole Radde	Computational Intelligence in Bioinformatics	Arpad Kelemen; Ajith Abraham; Yuehui Chen	2008	Springer Berlin Heidelberg
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
Building Genetic Networks for Gene Expression Patterns	Wai-Ki Ching; Eric S. Fung; Michael K. Ng	Intelligent Data Engineering and Automated Learning - IDEAL 2004: 5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings	Zheng Rong Yang; Hujun Yin; Richard M. Everson	2004	Springer Berlin Heidelberg
Computational Methods for Inference of Gene Regulatory Networks from Gene Expression Data	Nimrita Koul; Sunilkumar S. Manvi	Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications	K. G. Srinivasa; G. M. Siddesh; S. R. Manisekhar	1st ed. 2020	Springer Nature Singapore
Stochastic Gene Expression and Regulatory Networks	Paul C. Bressloff	Stochastic Processes in Cell Biology	Paul C. Bressloff	2014	Springer International Publishing
Stochastic gene expression and regulatory networks	Paul C. Bressloff	Stochastic Processes in Cell Biology: Volume I	Paul C. Bressloff	2nd ed. 2021	Springer International Publishing
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
Symbolic Discriminant Analysis for Mining Gene Expression Patterns	Jason H. Moore; Joel S. Parker; Lance W. Hahn	Machine Learning: ECML 2001: 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001. Proceedings	Luc Raedt; Peter Flach	2001	Springer Berlin Heidelberg
Inferring regulatory and other networks from gene expression data		Molecular Data Analysis Using R	Csaba Ortutay	2017	John Wiley & Sons
Stochastic Gene Expression Model Base Gene Regulatory Networks	Haseong Kim; Erol Gelenbe	EKC 2009 Proceedings of EU-Korea Conference on Science and Technology	Joung Hwan Lee; Habin Lee; Jung-Sik Kim	2010	Springer Berlin Heidelberg
Synthesising Executable Gene Regulatory Networks from Single-Cell Gene Expression Data	Jasmin Fisher; Ali Sinan Köksal; Nir Piterman; Steven Woodhouse	Computer Aided Verification: 27th International Conference, CAV 2015, San Francisco, CA, USA, July 18-24, 2015, Proceedings, Part I	Daniel Kroening; Corina S. Păsăreanu	1st ed. 2015	Springer International Publishing
Learning Bayesian Networks for Gene Expression Data	Faming Liang	Bayesian Modeling in Bioinformatics	Dipak K. Dey; Samiran Ghosh; Bani K. Mallick	2010	Routledge
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
Chapter	Author(s)	Book	Book Authors	Year	Publisher

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