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Volumn 53, Issue 5, 2013, Pages 1017-1025

Similarity boosted quantitative structure-activity relationship - A systematic study of enhancing structural descriptors by molecular similarity

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAMMING; LEARNING ALGORITHMS; PETROLEUM RESERVOIR EVALUATION; STRUCTURES (BUILT OBJECTS);

EID: 84878167434     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci300182p     Document Type: Article
Times cited : (2)

References (28)
  • 1
    • 1042265247 scopus 로고    scopus 로고
    • Approaches to measure chemical similarity-a review
    • Nikolova, N.; Jaworska, J. Approaches to measure chemical similarity-a review QSAR Comb. Sci. 2003, 22, 1006-1026
    • (2003) QSAR Comb. Sci. , vol.22 , pp. 1006-1026
    • Nikolova, N.1    Jaworska, J.2
  • 4
    • 34547465076 scopus 로고    scopus 로고
    • Leveraging chemical background knowledge for the prediction of growth inhibition
    • DOI 10.1109/BIBE.2006.253296, 4019676, Proceedings - Sixth IEEE Symposium on BioInformatics and BioEngineering, BIBE 2006
    • Richter, L.; Hechtl, S.; Kramer, S. Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition. In Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), Arlington, Virginia, USA, Oct 16-18, 2006; pp 319-324. (Pubitemid 47159434)
    • (2006) Proceedings - Sixth IEEE Symposium on BioInformatics and BioEngineering, BIBE 2006 , pp. 319-324
    • Richter, L.1    Hechtl, S.2    Kramer, S.3
  • 5
    • 0142032204 scopus 로고    scopus 로고
    • Support vector classifier with asymetric kernel function
    • In, Bruges, Belgium, Apr 21-23, 1999
    • Tsuda, K. Support vector classifier with asymetric kernel function. In ESANN 1999, 7th European Symposium on Artificial Neural Networks, Bruges, Belgium, Apr 21-23, 1999; pp 183-188.
    • ESANN 1999, 7th European Symposium on Artificial Neural Networks , pp. 183-188
    • Tsuda, K.1
  • 7
    • 0042202919 scopus 로고    scopus 로고
    • Chemography: The art of navigating in chemical space
    • DOI 10.1021/cc0000388
    • Oprea, T.; Gottfries, J. Chemography: the art of navigating in chemical space J. Comb. Chem. 2001, 3, 157-166 (Pubitemid 33614499)
    • (2001) Journal of Combinatorial Chemistry , vol.3 , Issue.2 , pp. 157-166
    • Oprea, T.I.1    Gottfries, J.2
  • 8
    • 84862653390 scopus 로고    scopus 로고
    • AZOrange-High performance open source machine learning for QSAR modeling in a graphical programming environment
    • 10.1186/1758-2946-3-28
    • StaÌŠlring, J.; Carlsson, L.; Almeida, P.; Boyer, S. AZOrange-High performance open source machine learning for QSAR modeling in a graphical programming environment J. Cheminf. [Online] 2011, 3, 28 10.1186/1758-2946-3-28
    • (2011) J. Cheminf. [Online] , vol.3 , pp. 28
    • Staìšlring, J.1    Carlsson, L.2    Almeida, P.3    Boyer, S.4
  • 10
    • 0000250265 scopus 로고
    • Measures of the Amount of Ecologic Association between Species
    • Dice, L. R. Measures of the Amount of Ecologic Association Between Species Ecology 1945, 26, 297-302
    • (1945) Ecology , vol.26 , pp. 297-302
    • Dice, L.R.1
  • 11
    • 77958054819 scopus 로고    scopus 로고
    • Online Structural Graph Clustering Using Frequent Subgraph Mining
    • In, Barcelona, Spain, Sep 20-24; Balcázar, J. L. Bonchi, F. Gionis, A. Sebag, M. Lecture Notes in Computer Science; Springer: New York, Vol. Part III
    • Seeland, M.; Girschick, T.; Buchwald, F.; Kramer, S. Online Structural Graph Clustering Using Frequent Subgraph Mining. In Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, Sep 20-24; Balcázar, J. L.; Bonchi, F.; Gionis, A.; Sebag, M., Eds.; Lecture Notes in Computer Science; Springer: New York, 2010; Vol. 6323, Part III, pp 213-228.
    • (2010) Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010 , vol.6323 , pp. 213-228
    • Seeland, M.1    Girschick, T.2    Buchwald, F.3    Kramer, S.4
  • 12
    • 80052419918 scopus 로고    scopus 로고
    • Parallel Structural Graph Clustering
    • In, Athens, Greece, Sep 5-9; Gunopulos, D. Hofmann, T. Malerba, D. Vazirgiannis, M. Lecture Notes in Computer Science; Springer: New York, Vol. Part III
    • Seeland, M.; Berger, S.; Stamatakis, A.; Kramer, S. Parallel Structural Graph Clustering. In Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2011, Athens, Greece, Sep 5-9; Gunopulos, D.; Hofmann, T.; Malerba, D.; Vazirgiannis, M., Eds.; Lecture Notes in Computer Science; Springer: New York, 2011; Vol. 6913, Part III, pp 256-272.
    • (2011) Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2011 , vol.6913 , pp. 256-272
    • Seeland, M.1    Berger, S.2    Stamatakis, A.3    Kramer, S.4
  • 13
    • 34548742854 scopus 로고    scopus 로고
    • ChemDB update - Full-text search and virtual chemical space
    • DOI 10.1093/bioinformatics/btm341
    • Chen, J.; Linstead, E.; Swamidass, S.; Wang, D.; Baldi, P. ChemDB update-full-text search and virtual chemical space Bioinformatics 2007, 23, 2348-2351 (Pubitemid 47423878)
    • (2007) Bioinformatics , vol.23 , Issue.17 , pp. 2348-2351
    • Chen, J.H.1    Linstead, E.2    Swamidass, S.J.3    Wang, D.4    Baldi, P.5
  • 14
    • 79958784191 scopus 로고    scopus 로고
    • Efficient mining for structurally diverse subgraph patterns in large molecular databases
    • Maunz, A.; Helma, C.; Kramer, S. Efficient mining for structurally diverse subgraph patterns in large molecular databases Machine Learning 2011, 83, 193-218
    • (2011) Machine Learning , vol.83 , pp. 193-218
    • Maunz, A.1    Helma, C.2    Kramer, S.3
  • 15
    • 77952772341 scopus 로고    scopus 로고
    • Extended-connectivity fingerprints
    • Rogers, D.; Hahn, M. Extended-connectivity fingerprints J. Chem. Inf. Model. 2010, 50, 742-754
    • (2010) J. Chem. Inf. Model. , vol.50 , pp. 742-754
    • Rogers, D.1    Hahn, M.2
  • 18
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • DOI 10.1023/A:1010933404324
    • Breiman, L. Random forests Machine Learning 2001, 45, 5-32 (Pubitemid 32933532)
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 20
    • 0042847140 scopus 로고    scopus 로고
    • Inference for the generalization Error
    • Nadeau, C.; Bengio, Y. Inference for the generalization Error Machine Learning 2003, 52, 239-281
    • (2003) Machine Learning , vol.52 , pp. 239-281
    • Nadeau, C.1    Bengio, Y.2
  • 21
    • 0000259511 scopus 로고    scopus 로고
    • Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
    • Dietterich, T. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms Neural Comput. 1998, 10, 1895-1924
    • (1998) Neural Comput. , vol.10 , pp. 1895-1924
    • Dietterich, T.1
  • 22
    • 34247133438 scopus 로고    scopus 로고
    • Error bars in experimental biology
    • DOI 10.1083/jcb.200611141
    • Cumming, G.; Fidler, F.; Vaux, D. Error bars in experimental biology J. Cell Biol. 2007, 177, 7-11 (Pubitemid 46588396)
    • (2007) Journal of Cell Biology , vol.177 , Issue.1 , pp. 7-11
    • Cumming, G.1    Fidler, F.2    Vaux, D.L.3
  • 23
    • 0037403516 scopus 로고    scopus 로고
    • Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
    • Kuncheva, L.; Whitaker, C. Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy Machine Learning 2003, 51, 181-207
    • (2003) Machine Learning , vol.51 , pp. 181-207
    • Kuncheva, L.1    Whitaker, C.2
  • 24
    • 0030196364 scopus 로고    scopus 로고
    • Stacked regressions
    • Breiman, L. Stacked Regressions Machine Learning 1996, 24, 49-64 (Pubitemid 126724379)
    • (1996) Machine Learning , vol.24 , Issue.1 , pp. 49-64
    • Breiman, L.1
  • 25
    • 0026692226 scopus 로고
    • Stacked generalization
    • Wolpert, D. Stacked generalization Neural Networks 1992, 5, 241-259
    • (1992) Neural Networks , vol.5 , pp. 241-259
    • Wolpert, D.1
  • 26
    • 38049113105 scopus 로고    scopus 로고
    • Optimizing feature sets for structured data
    • In, Warsaw, Poland, Sept 17-21; Kok, J. Koronacki, J. López de Mántaras, R. Matwin, S. Mladenic, D. Lecture Notes in Computer Science; Springer: New York, Vol.
    • Rückert, U.; Kramer, S. Optimizing feature sets for structured data. In Machine Learning: ECML 2007, 18th European Conference on Machine Learning, Warsaw, Poland, Sept 17-21; Kok, J.; Koronacki, J.; López de Mántaras, R.; Matwin, S.; Mladenic, D., Eds.; Lecture Notes in Computer Science; Springer: New York, 2007; Vol. 4701; pp 716-723.
    • (2007) Machine Learning: ECML 2007, 18th European Conference on Machine Learning , vol.4701 , pp. 716-723
    • Rückert, U.1    Kramer, S.2
  • 28
    • 85131997221 scopus 로고    scopus 로고
    • World Scientific Pub Co Inc: Hackensack, NJ
    • Gärtner, T. Kernels for structured data; World Scientific Pub Co Inc: Hackensack, NJ, 2009; Vol. 72
    • (2009) Kernels for Structured Data , vol.72
    • Gärtner, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.