An integrated tool for microarray data clustering and cluster validity assessment
In this paper we present a data mining system, which allows the application of different clustering and cluster validity algorithms for DNA microarray data. This tool may improve the quality of the data analysis results, and may support the prediction of the number of relevant clusters in the microa...
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| Published in: | Bioinformatics Vol. 21; no. 4; pp. 451 - 455 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
England
Oxford University Press
15.02.2005
Oxford Publishing Limited (England) |
| Subjects: | |
| ISSN: | 1367-4803, 1460-2059, 1367-4811 |
| Online Access: | Get full text |
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| Abstract | In this paper we present a data mining system, which allows the application of different clustering and cluster validity algorithms for DNA microarray data. This tool may improve the quality of the data analysis results, and may support the prediction of the number of relevant clusters in the microarray datasets. This systematic evaluation approach may significantly aid genome expression analyses for knowledge discovery applications. The developed software system may be effectively used for clustering and validating not only DNA microarray expression analysis applications but also other biomedical and physical data with no limitations. Availability: The program is freely available for non-profit use on request at http://www.cs.tcd.ie/Nadia.Bolshakova/Machaon.html Contact: Nadia.Bolshakova@cs.tcd.ie |
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| AbstractList | In this paper we present a data mining system, which allows the application of different clustering and cluster validity algorithms for DNA microarray data. This tool may improve the quality of the data analysis results, and may support the prediction of the number of relevant clusters in the microarray datasets. This systematic evaluation approach may significantly aid genome expression analyses for knowledge discovery applications. The developed software system may be effectively used for clustering and validating not only DNA microarray expression analysis applications but also other biomedical and physical data with no limitations. AVAILABILITY: The program is freely available for non-profit use on request at http://www.cs.tcd.ie/Nadia.Bolshakova/Machaon.html In this paper we present a data mining system, which allows the application of different clustering and cluster validity algorithms for DNA microarray data. This tool may improve the quality of the data analysis results, and may support the prediction of the number of relevant clusters in the microarray datasets. This systematic evaluation approach may significantly aid genome expression analyses for knowledge discovery applications. The developed software system may be effectively used for clustering and validating not only DNA microarray expression analysis applications but also other biomedical and physical data with no limitations. Availability: The program is freely available for non-profit use on request at http://www.cs.tcd.ie/Nadia.Bolshakova/Machaon.html Contact: Nadia.Bolshakova@cs.tcd.ie In this paper we present a data mining system, which allows the application of different clustering and cluster validity algorithms for DNA microarray data. This tool may improve the quality of the data analysis results, and may support the prediction of the number of relevant clusters in the microarray datasets. This systematic evaluation approach may significantly aid genome expression analyses for knowledge discovery applications. The developed software system may be effectively used for clustering and validating not only DNA microarray expression analysis applications but also other biomedical and physical data with no limitations.UNLABELLEDIn this paper we present a data mining system, which allows the application of different clustering and cluster validity algorithms for DNA microarray data. This tool may improve the quality of the data analysis results, and may support the prediction of the number of relevant clusters in the microarray datasets. This systematic evaluation approach may significantly aid genome expression analyses for knowledge discovery applications. The developed software system may be effectively used for clustering and validating not only DNA microarray expression analysis applications but also other biomedical and physical data with no limitations.The program is freely available for non-profit use on request at http://www.cs.tcd.ie/Nadia.Bolshakova/Machaon.htmlAVAILABILITYThe program is freely available for non-profit use on request at http://www.cs.tcd.ie/Nadia.Bolshakova/Machaon.htmlNadia.Bolshakova@cs.tcd.ie.CONTACTNadia.Bolshakova@cs.tcd.ie. In this paper we present a data mining system, which allows the application of different clustering and cluster validity algorithms for DNA microarray data. This tool may improve the quality of the data analysis results, and may support the prediction of the number of relevant clusters in the microarray datasets. This systematic evaluation approach may significantly aid genome expression analyses for knowledge discovery applications. The developed software system may be effectively used for clustering and validating not only DNA microarray expression analysis applications but also other biomedical and physical data with no limitations. The program is freely available for non-profit use on request at http://www.cs.tcd.ie/Nadia.Bolshakova/Machaon.html Nadia.Bolshakova@cs.tcd.ie. In this paper we present a data mining system, which allows the application of different clustering and cluster validity algorithms for DNA microarray data. This tool may improve the quality of the data analysis results, and may support the prediction of the number of relevant clusters in the microarray datasets. This systematic evaluation approach may significantly aid genome expression analyses for knowledge discovery applications. The developed software system may be effectively used for clustering and validating not only DNA microarray expression analysis applications but also other biomedical and physical data with no limitations. Availability: The program is freely available for non-profit use on request at http://www.cs.tcd.ie/Nadia.Bolshakova/Machaon.html Contact: Nadia.Bolshakova@cs.tcd.ie |
| Author | Bolshakova, Nadia Azuaje, Francisco Cunningham, Pádraig |
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| Cites_doi | 10.1080/01969727408546059 10.1093/bioinformatics/18.1.207 10.1093/bioinformatics/17.2.126 10.1186/gb-2002-3-7-research0036 10.1109/TPAMI.1979.4766909 10.1073/pnas.95.25.14863 10.1038/4475 10.1145/381371.381384 10.1126/science.270.5235.467 10.1016/S0165-1684(02)00475-9 10.1126/science.286.5439.531 |
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| SubjectTerms | Algorithms Benchmarking - methods Cluster Analysis Data mining Database Management Systems Deoxyribonucleic acid DNA Gene Expression Profiling - methods Information Storage and Retrieval Oligonucleotide Array Sequence Analysis - methods Pattern Recognition, Automated - methods Software Systems Integration User-Computer Interface |
| Title | An integrated tool for microarray data clustering and cluster validity assessment |
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