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Volumn 2, Issue , 2006, Pages 670-674

Exploiting the geometry of gene expression patterns for unsupervised learning

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; FUNCTION EVALUATION; GEOMETRY; LEARNING SYSTEMS; PATTERN RECOGNITION;

EID: 34047217121     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.518     Document Type: Conference Paper
Times cited : (15)

References (11)
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  • 3
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    • A fast algorithm for subspace clustering by pattern similarity
    • Wang et al. A fast algorithm for subspace clustering by pattern similarity. In SSDBM, 2004.
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  • 4
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    • Sra et al. Minimum sum-squared residue co-clustering of gene expression data. In SDM, 2004.
    • Sra et al. Minimum sum-squared residue co-clustering of gene expression data. In SDM, 2004.
  • 5
    • 27544440058 scopus 로고    scopus 로고
    • Shifting and scaling patterns from gene expression data
    • Jess S. Aguilar-Ruiz. Shifting and scaling patterns from gene expression data. Bioinformatics, 21(10):3840-3845, 2005.
    • (2005) Bioinformatics , vol.21 , Issue.10 , pp. 3840-3845
    • Aguilar-Ruiz, J.S.1
  • 6
    • 4544219510 scopus 로고    scopus 로고
    • A time series analysis of microarray data
    • Erdal et al. A time series analysis of microarray data. In BIBE, page 366, 2004.
    • (2004) BIBE , pp. 366
    • Erdal1
  • 7
    • 14544300820 scopus 로고    scopus 로고
    • Computing clusters of correlation connected objects
    • Böhm et al. Computing clusters of correlation connected objects. In ACM SIGMOD, pages 455-466, 2004.
    • (2004) ACM SIGMOD , pp. 455-466
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  • 8
    • 26944448167 scopus 로고    scopus 로고
    • Linear manifold clustering
    • 4th International Conference on Machine Learning and Data Mining in Pattern Recognition MLDM 2005, Springer Verlag
    • R. Haralick and R. Harpaz. Linear manifold clustering. In 4th International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM 2005), Springer Verlag, LNAI 3587, pages 132-141, 2005.
    • (2005) LNAI , vol.3587 , pp. 132-141
    • Haralick, R.1    Harpaz, R.2
  • 9
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    • Minimum error thresholding
    • J. Kittler and J. Illingworth. Minimum error thresholding. Pattern Recogn., 19(1):41-47, 1986.
    • (1986) Pattern Recogn , vol.19 , Issue.1 , pp. 41-47
    • Kittler, J.1    Illingworth, J.2
  • 10
    • 0033028596 scopus 로고    scopus 로고
    • Systematic determination of genetic network architecture
    • Tavazoie et al. Systematic determination of genetic network architecture. Nature Genetics, 22(3):281 - 285, 1999.
    • (1999) Nature Genetics , vol.22 , Issue.3 , pp. 281-285
    • Tavazoie1
  • 11
    • 0033536012 scopus 로고    scopus 로고
    • Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
    • Alon et al. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. In PNAS, volume 96, pages 6745-6750, 1999.
    • (1999) PNAS , vol.96 , pp. 6745-6750
    • Alon1


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