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Volumn , Issue , 2009, Pages 1445-1450

Drosophila gene expression pattern annotation through multi-instance multi-label learning

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING ALGORITHMS; SUPPORT VECTOR MACHINES;

EID: 77953193733     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (32)

References (13)
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  • 2
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    • Multi-instance kernels
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  • 3
    • 13244268372 scopus 로고    scopus 로고
    • Identifying spatially similar gene expression patterns in early stage fruit fly embryo images: Binary feature versus invariant moment digital representations
    • R. Gurunathan, B. V. Emden, S. Panchanathan, and S. Kumar. Identifying spatially similar gene expression patterns in early stage fruit fly embryo images: Binary feature versus invariant moment digital representations. BMC Bioinformatics, 5:202, 2004.
    • (2004) BMC Bioinformatics , vol.5 , pp. 202
    • Gurunathan, R.1    Emden, B.V.2    Panchanathan, S.3    Kumar, S.4
  • 4
    • 0004019973 scopus 로고    scopus 로고
    • Technical Report UCSC-CRL-99-10, Department of Computer Science, University of California at Santa Cruz
    • D. Haussler. Convolution kernels on discrete structures. Technical Report UCSC-CRL-99-10, Department of Computer Science, University of California at Santa Cruz, 1999.
    • (1999) Convolution Kernels on Discrete Structures
    • Haussler, D.1
  • 5
    • 50549093271 scopus 로고    scopus 로고
    • Automated annotation of drosophila gene expression patterns using a controlled vocabulary
    • S. Ji, L. Sun, R. Jin, S. Kumar, and J. Ye. Automated annotation of drosophila gene expression patterns using a controlled vocabulary. Bioinformatics, 24(17):1881-1888, 2008.
    • (2008) Bioinformatics , vol.24 , Issue.17 , pp. 1881-1888
    • Ji, S.1    Sun, L.2    Jin, R.3    Kumar, S.4    Ye, J.5
  • 6
    • 12244265472 scopus 로고    scopus 로고
    • BEST: A novel computational approach for comparing gene expression patterns from early stages of drosophlia melanogaster development
    • S. Kumar, K. Jayaramanc, S. Panchanathan, R. Gurunatha, A. Marti-Subirana, and S. J. Newfeld. BEST: A novel computational approach for comparing gene expression patterns from early stages of drosophlia melanogaster development. Genetics, 169:2037-2047, 2002.
    • (2002) Genetics , vol.169 , pp. 2037-2047
    • Kumar, S.1    Jayaramanc, K.2    Panchanathan, S.3    Gurunatha, R.4    Marti-Subirana, A.5    Newfeld, S.J.6
  • 7
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scalein-variant keypoints
    • D. G. Lowe. Distinctive image features from scalein-variant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
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    • BoosTexter: A boosting-based system for text categorization
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    • Automatic recognition and annotation of gene expression patterns of fly embryos
    • J. Zhou and H. Peng. Automatic recognition and annotation of gene expression patterns of fly embryos. Bioinformatics, 23(5):589-596, 2007.
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  • 13
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    • Multi-instance multi-label learning with application to scene classification
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    • Z.-H. Zhou and M.-L. Zhang. Multi-instance multi-label learning with application to scene classification. In NIPS 19, pages 1609-1616. MIT Press, Cambridge, MA, 2007.
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    • Zhou, Z.-H.1    Zhang, M.-L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.