Hypothesis-Driven Specialization of Gene Expression Association Rules

2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007) ◽

10.1109/bibm.2007.17 ◽

2007 ◽

Cited By ~ 1

Author(s):

Dharmesh Thakkar ◽

Carolina Ruiz ◽

Elizabeth F. Ryder

Keyword(s):

Gene Expression ◽

Association Rules

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Inferring Adaptive Regulation Thresholds and Association Rules from Gene Expression Data through Combinatorial Optimization Learning

IEEE/ACM Transactions on Computational Biology and Bioinformatics ◽

10.1109/tcbb.2007.1049 ◽

2007 ◽

Vol 4 (4) ◽

pp. 624-634 ◽

Cited By ~ 22

Author(s):

I. Ponzoni ◽

F.J. Azuaje ◽

J.C. Augusto ◽

D.H. Glass

Keyword(s):

Gene Expression ◽

Combinatorial Optimization ◽

Gene Expression Data ◽

Association Rules ◽

Expression Data ◽

Adaptive Regulation

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Clustering of Association Rules on Microarray Gene Expression Data

Advances in Intelligent Systems and Computing - Advanced Computing and Intelligent Engineering ◽

10.1007/978-981-15-1081-6_8 ◽

2020 ◽

pp. 85-97

Author(s):

S. Alagukumar ◽

C. Devi Arockia Vanitha ◽

R. Lawrance

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Association Rules ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

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Dynamic association rules for gene expression data analysis

BMC Genomics ◽

10.1186/s12864-015-1970-x ◽

2015 ◽

Vol 16 (1) ◽

Cited By ~ 12

Author(s):

Shu-Chuan Chen ◽

Tsung-Hsien Tsai ◽

Cheng-Han Chung ◽

Wen-Hsiung Li

Keyword(s):

Gene Expression ◽

Data Analysis ◽

Gene Expression Data ◽

Association Rules ◽

Expression Data ◽

Gene Expression Data Analysis ◽

Dynamic Association

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Mining Association Rules that Incorporate Transcription Factor Binding Sites and Gene Expression Patterns in C. elegans

Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms ◽

10.5220/0004252300810089 ◽

2013 ◽

Keyword(s):

Gene Expression ◽

Transcription Factor ◽

Association Rules ◽

Binding Sites ◽

Expression Patterns ◽

Transcription Factor Binding Sites ◽

Transcription Factor Binding ◽

Gene Expression Patterns ◽

Factor Binding ◽

C Elegans

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Mining association rules among gene functions in clusters of similar gene expression maps

2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop ◽

10.1109/bibmw.2009.5332104 ◽

2009 ◽

Cited By ~ 1

Author(s):

Li An ◽

Zoran Obradovic ◽

Desmond Smith ◽

Olivier Bodenreider ◽

Vasileios Megalooikonomou

Keyword(s):

Gene Expression ◽

Association Rules ◽

Gene Functions ◽

Mining Association Rules ◽

Similar Gene

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Parallel Mining of Association Rules from Gene Expression Databases

Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) ◽

10.1109/fskd.2007.444 ◽

2007 ◽

Author(s):

Mahdi Asadpour ◽

Mohammad Hadi Sadreddini ◽

Gholamhossein Dastghaibyfard

Keyword(s):

Gene Expression ◽

Association Rules ◽

Parallel Mining

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Mining fuzzy association rules from microarray gene expression data for leukemia classification

2006 IEEE International Conference on Granular Computing ◽

10.1109/grc.2006.1635840 ◽

2006 ◽

Author(s):

Yuanchen He ◽

Yuchun Tang ◽

Yan-Qing Zhang ◽

R. Sunderraman

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Association Rules ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Fuzzy Association Rules ◽

Microarray Gene

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Mining Negative Correlation Biclusters from Gene Expression Data using Generic Association Rules

Procedia Computer Science ◽

10.1016/j.procs.2017.08.262 ◽

2017 ◽

Vol 112 ◽

pp. 278-287 ◽

Cited By ~ 3

Author(s):

Amina Houari ◽

Wassim Ayadi ◽

Sadok Ben Yahia

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Association Rules ◽

Negative Correlation ◽

Expression Data

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Mining Spatial Gene Expression Data for Association Rules

Bioinformatics Research and Development - Lecture Notes in Computer Science ◽

10.1007/978-3-540-71233-6_6 ◽

2007 ◽

pp. 66-76 ◽

Cited By ~ 6

Author(s):

Jano van Hemert ◽

Richard Baldock

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Association Rules ◽

Expression Data

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Decision Making Association Rules for Recognition of Differential Gene Expression Profiles

Intelligent Data Engineering and Automated Learning – IDEAL 2006 - Lecture Notes in Computer Science ◽

10.1007/11875581_135 ◽

2006 ◽

pp. 1137-1149 ◽

Cited By ~ 1

Author(s):

C. Rubio-Escudero ◽

Coral del Val ◽

O. Cordón ◽

I. Zwir

Keyword(s):

Gene Expression ◽

Decision Making ◽

Differential Gene Expression ◽

Association Rules ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Differential Gene

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