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Volumn 4232 LNCS, Issue , 2006, Pages 280-289

Connectionist approaches for predicting mouse gene function from gene expression

Author keywords

[No Author keywords available]

Indexed keywords

BIODIVERSITY; CELLS; CORRELATION METHODS; LEARNING SYSTEMS; NEURAL NETWORKS;

EID: 33750590032     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11893028_32     Document Type: Conference Paper
Times cited : (3)

References (19)
  • 3
    • 1942453302 scopus 로고    scopus 로고
    • Predicting gene expression from sequence
    • 16 117 Apr.
    • Beer, M.A., Tavazoie, S.: Predicting Gene Expression from Sequence. Cell 16 117(2) Apr. (2004)185-98
    • (2004) Cell , Issue.2 , pp. 185-198
    • Beer, M.A.1    Tavazoie, S.2
  • 14
    • 33745924455 scopus 로고    scopus 로고
    • Protein sequence classification using extreme learning machine
    • Montréal
    • Wang, D., Huang, G.: Protein Sequence Classification Using Extreme Learning Machine. In: IJCNN05, Vol. 3. Montréal (2005) 1406-1411
    • (2005) IJCNN05 , vol.3 , pp. 1406-1411
    • Wang, D.1    Huang, G.2
  • 19
    • 0003527079 scopus 로고    scopus 로고
    • Springer-Verlag, New York
    • rd edn Springer-Verlag, New York (1998)
    • (1998) rd Edn
    • Kohonen, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.