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» Semantic Mining and Analysis of Gene Expression Data
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BIBE
2004
IEEE
179views Bioinformatics» more  BIBE 2004»
14 years 19 days ago
Incorporating Ontology-Driven Similarity Knowledge into Functional Genomics: An Exploratory Study
This research explores the feasibility of semantic similarity approaches to supporting predictive tasks in functional genomics. It aims to establish potential relationships betwee...
Francisco Azuaje, Olivier Bodenreider
JIFS
2002
134views more  JIFS 2002»
13 years 8 months ago
Classification of gene expression data using fuzzy logic
Microarray technologies have allowed the measurement of expression of multiple genes simultaneously. Gene expression levels can be used to classify tissues into diagnostic or progn...
Lucila Ohno-Machado, Staal A. Vinterbo, Griffin We...
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
14 years 9 months ago
Mining coherent gene clusters from gene-sample-time microarray data
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...
APBC
2004
121views Bioinformatics» more  APBC 2004»
13 years 10 months ago
Using Emerging Pattern Based Projected Clustering and Gene Expression Data for Cancer Detection
Using gene expression data for cancer detection is one of the famous research topics in bioinformatics. Theoretically, gene expression data is capable to detect all types of early...
Larry T. H. Yu, Fu-Lai Chung, Stephen Chi-fai Chan...
BIBE
2007
IEEE
127views Bioinformatics» more  BIBE 2007»
14 years 26 days ago
Gene Selection via Matrix Factorization
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...
Fei Wang, Tao Li