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Volumn 3745 LNBI, Issue , 2005, Pages 294-304

An ontological approach to represent molecular structure information

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL ENGINEERING; CHEMICAL COMPOUNDS; COMPUTER AIDED SOFTWARE ENGINEERING; DRUG PRODUCTS; INFORMATION ANALYSIS; MOLECULAR STRUCTURE;

EID: 33745311593     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11573067_30     Document Type: Conference Paper
Times cited : (5)

References (8)
  • 1
    • 0034541104 scopus 로고    scopus 로고
    • Bottom-up induction of feature terms
    • Armengol, E., Plaza, E.: Bottom-up induction of feature terms. Machine Learning 41 (2000) 259-294
    • (2000) Machine Learning , vol.41 , pp. 259-294
    • Armengol, E.1    Plaza, E.2
  • 3
    • 0242485283 scopus 로고    scopus 로고
    • Relational case-based reasoning for carcinogenic activity prediction
    • Armengol, E., Plaza, E.: Relational case-based reasoning for carcinogenic activity prediction. Artificial Intelligence Review 20 (2003) 121-141
    • (2003) Artificial Intelligence Review , vol.20 , pp. 121-141
    • Armengol, E.1    Plaza, E.2
  • 4
    • 7444221519 scopus 로고    scopus 로고
    • Lazy learning for predictive toxicology based on a chemical ontology
    • Dubitzky, W., Azuaje, F., eds.: In Press. Kluwer Academic Press
    • Armengol, E., Plaza, E.: Lazy learning for predictive toxicology based on a chemical ontology. In Dubitzky, W., Azuaje, F., eds.: Artificial Intelligence Methods and Tools for Systems Biology, In Press. Kluwer Academic Press (2004)
    • (2004) Artificial Intelligence Methods and Tools for Systems Biology
    • Armengol, E.1    Plaza, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.