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Volumn 122, Issue , 2008, Pages 161-182

Using machine vision to detect distinctive behavioral phenotypes of thread-shape microscopic organism

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EID: 44649161266     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-78534-7_7     Document Type: Article
Times cited : (4)

References (23)
  • 2
    • 33644864549 scopus 로고    scopus 로고
    • Genome-wide prediction of C. elegans genetic interactions
    • Zhong W, Sternberg PW (2006) Genome-wide prediction of C. elegans genetic interactions. Sci 311: 1481-1484
    • (2006) Sci , vol.311 , pp. 1481-1484
    • Zhong, W.1    Sternberg, P.W.2
  • 3
    • 0038492417 scopus 로고    scopus 로고
    • A Bayesian framework for combining heterogeneous data sources for gene function prediction
    • in Saccharomyces cerevisiae
    • Troyanskaya OG, Dolinski K, Owen AB, Altman RB, Botstein D (2003) A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae). Natl. Acad. Sci. 100:8348-8353
    • (2003) Natl. Acad. Sci , vol.100 , pp. 8348-8353
    • Troyanskaya, O.G.1    Dolinski, K.2    Owen, A.B.3    Altman, R.B.4    Botstein, D.5
  • 4
    • 0142052944 scopus 로고    scopus 로고
    • A Bayesian networks approach for predicting protein-protein interactions from genomic data
    • Jansen R, et al. (2003) A Bayesian networks approach for predicting protein-protein interactions from genomic data. Sci. 302:449-453
    • (2003) Sci , vol.302 , pp. 449-453
    • Jansen, R.1
  • 5
    • 9444239213 scopus 로고    scopus 로고
    • A probabilistic functional network of yeast genes
    • Lee I, Date SV, Adai AT, Marcotte EM (2004) A probabilistic functional network of yeast genes. Sci. 306:1555-1558
    • (2004) Sci , vol.306 , pp. 1555-1558
    • Lee, I.1    Date, S.V.2    Adai, A.T.3    Marcotte, E.M.4
  • 6
    • 0037199261 scopus 로고    scopus 로고
    • Using machine vision to analyze and classify C.elegans behavioral phenotypes quantitatively
    • Baek J, Cosman P, Feng Z, Silver J, Schafer WR (2002) Using machine vision to analyze and classify C.elegans behavioral phenotypes quantitatively. J. Neurosci. Methods 118:9-21
    • (2002) J. Neurosci. Methods , vol.118 , pp. 9-21
    • Baek, J.1    Cosman, P.2    Feng, Z.3    Silver, J.4    Schafer, W.R.5
  • 8
    • 33646850045 scopus 로고    scopus 로고
    • A general image based nematode identification system design
    • Springer-Verlag Berlin Heidelberg
    • Zhou B, Nah W, Lee K, and Baek J (2005) A general image based nematode identification system design. Lecture Notes in Artificial Intelligence, Springer-Verlag Berlin Heidelberg 3802:899-904
    • (2005) Lecture Notes in Artificial Intelligence , vol.3802 , pp. 899-904
    • Zhou, B.1    Nah, W.2    Lee, K.3    Baek, J.4
  • 9
    • 33749550666 scopus 로고    scopus 로고
    • An automatic nematode identification methods based on locomotion patterns and representative shape features
    • Springer-Verlag Berlin Heideberg
    • Zhou B and Baek J (2006) An automatic nematode identification methods based on locomotion patterns and representative shape features. Lecture Notes in Bioinformatics, Springer-Verlag Berlin Heideberg 4115:372-380
    • (2006) Lecture Notes in Bioinformatics , vol.4115 , pp. 372-380
    • Zhou, B.1    Baek, J.2
  • 10
    • 44649158839 scopus 로고    scopus 로고
    • A nematode identification system based on locomotion features and representative shape patterns
    • Korea
    • Zhou B and Baek J (2006) A nematode identification system based on locomotion features and representative shape patterns. Proc. of the 2006 Korean Signal Processing Conference (KSPC06), Korea 79-83
    • (2006) Proc. of the 2006 Korean Signal Processing Conference (KSPC06) , pp. 79-83
    • Zhou, B.1    Baek, J.2
  • 11
    • 84974265517 scopus 로고
    • On the morphology of Aphelenchoides besseyi Christie, 1942 and A. siddiqii n. sp. (Nematoda, Aphelenchoidea)
    • Fortuner R (1970) On the morphology of Aphelenchoides besseyi Christie, 1942 and A. siddiqii n. sp. (Nematoda, Aphelenchoidea). J. Helminth. 44:141-152
    • (1970) J. Helminth , vol.44 , pp. 141-152
    • Fortuner, R.1
  • 12
    • 0342415286 scopus 로고
    • Review of the genus Helicotylenchus Steiner, 1945. 1: A computer program for identification of the species
    • Fortuner R and Wong Y (1984) Review of the genus Helicotylenchus Steiner, 1945. 1: A computer program for identification of the species. Revue Nématol. 7:385-392
    • (1984) Revue Nématol , vol.7 , pp. 385-392
    • Fortuner, R.1    Wong, Y.2
  • 14
    • 0342850201 scopus 로고    scopus 로고
    • Computer assisted semi-automatic identification of Helicotylenchus species. The program NEMAIDCalif: Pl. Pest and Dis. Rep
    • Fortuner R (1998) Computer assisted semi-automatic identification of Helicotylenchus species. The program NEMAIDCalif: Pl. Pest and Dis. Rep. 2:45-48
    • (1998) , vol.2 , pp. 45-48
    • Fortuner, R.1
  • 15
    • 0034029289 scopus 로고    scopus 로고
    • Diederich J, Fortuner R, Milton J (2000) Genisys and computer-assisted identification of nematodes. J. Nematology. Earth and Environmental Sci. 2.1:17-30
    • Diederich J, Fortuner R, Milton J (2000) Genisys and computer-assisted identification of nematodes. J. Nematology. Earth and Environmental Sci. 2.1:17-30
  • 17
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L (2001) Random forests. Machine Learning 45(1):5-32
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 20
    • 0021391789 scopus 로고
    • A fast parallel algorithm for thinning digital patterns
    • Zhang TY, Suen CY (1984) A fast parallel algorithm for thinning digital patterns. Comm. ACM 27(3):236-239
    • (1984) Comm. ACM , vol.27 , Issue.3 , pp. 236-239
    • Zhang, T.Y.1    Suen, C.Y.2
  • 23
    • 84878084024 scopus 로고    scopus 로고
    • Bregman Bubble Clustering: A robust, scalable framework for locating multiple, dense regions in data
    • Gupta G, Ghosh J (2006) Bregman Bubble Clustering: A robust, scalable framework for locating multiple, dense regions in data. Proc. of the International Conf. on Data Mining (ICDM'06) 232-243
    • (2006) Proc. of the International Conf. on Data Mining (ICDM'06) , pp. 232-243
    • Gupta, G.1    Ghosh, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.