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Volumn 31, Issue 9, 2015, Pages 1515-1518

The QDREC web server: Determining dose-response characteristics of complex macroparasites in phenotypic drug screens

Author keywords

[No Author keywords available]

Indexed keywords

VERMES;

EID: 84928400310     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu831     Document Type: Article
Times cited : (13)

References (7)
  • 1
    • 84878572284 scopus 로고    scopus 로고
    • Segmenting the etiological agent of schistosomiasis for high-content screening
    • Asarnow, D.E. and Singh, R. (2013) Segmenting the etiological agent of schistosomiasis for high-content screening. IEEE Trans. Med. Imaging, 32, 1007-1018.
    • (2013) IEEE Trans. Med. Imaging , vol.32 , pp. 1007-1018
    • Asarnow, D.E.1    Singh, R.2
  • 2
    • 84862265241 scopus 로고    scopus 로고
    • Quantification and clustering of phenotypic screening data using time-series analysis for chemotherapy of schistosomiasis
    • Lee, H. et al. (2012) Quantification and clustering of phenotypic screening data using time-series analysis for chemotherapy of schistosomiasis. BMC Genomics, 13, S4.
    • (2012) BMC Genomics , vol.13 , pp. S4
    • Lee, H.1
  • 3
    • 84856565313 scopus 로고    scopus 로고
    • WormAssay: A novel computer application for whole-plate motion-based screening of macroscopic parasites
    • Marcellino, C. et al. (2012) WormAssay: A novel computer application for whole-plate motion-based screening of macroscopic parasites. PLoS Negl. Trop. Dis., 6, e1494.
    • (2012) PLoS Negl. Trop. Dis. , vol.6 , pp. e1494
    • Marcellino, C.1
  • 4
    • 84864615611 scopus 로고    scopus 로고
    • Whole organism high-content screening by labelfree, image-based Bayesian classification for parasitic diseases
    • Paveley, R.A. et al. (2012) Whole organism high-content screening by labelfree, image-based Bayesian classification for parasitic diseases. PLoS Negl. Trop. Dis., 6, e1762.
    • (2012) PLoS Negl. Trop. Dis. , vol.6 , pp. e1762
    • Paveley, R.A.1
  • 5
    • 84866694931 scopus 로고    scopus 로고
    • Vision-based tracking of complex macroparasites for high-content phenotypic drug screening
    • Bebis, G. et al. (eds.). Springer, Heidelberg
    • Saha, U. and Singh, R. (2012) Vision-based tracking of complex macroparasites for high-content phenotypic drug screening. In: Bebis, G. et al. (eds.), Advances in Visual Computing(Lecture Notes in Computer Science). Springer, Heidelberg, pp. 104-114.
    • (2012) Advances in Visual Computing(Lecture Notes in Computer Science) , pp. 104-114
    • Saha, U.1    Singh, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.