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Volumn 4213 LNAI, Issue , 2006, Pages 553-560

A feature generation algorithm for sequences with application to splice-site prediction

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; FEATURE EXTRACTION; MATHEMATICAL MODELS; PREDICTIVE CONTROL SYSTEMS; PROBLEM SOLVING; SIGNAL FILTERING AND PREDICTION;

EID: 33750299643     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11871637_55     Document Type: Conference Paper
Times cited : (18)

References (14)
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  • 7
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    • Feature subset selection for splice site prediction
    • Degroeve, S., Baets, B., de Peer, Y.V., Rouze, P.: Feature subset selection for splice site prediction. In: ECCB. (2002) 75-83
    • (2002) ECCB , pp. 75-83
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  • 8
    • 0038376934 scopus 로고    scopus 로고
    • Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals
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  • 9
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    • Sequence information for the splicing of human pre-mRNA identified by support vector machine classification
    • Zhang, X., Heller, K., Hefter, I., Leslie, C., Chasin, L.: Sequence information for the splicing of human pre-mRNA identified by support vector machine classification. Genome Research 13 (2003) 2637-2650
    • (2003) Genome Research , vol.13 , pp. 2637-2650
    • Zhang, X.1    Heller, K.2    Hefter, I.3    Leslie, C.4    Chasin, L.5
  • 10
    • 17444380495 scopus 로고    scopus 로고
    • SpliceMachine: Predicting splice sites from high-dimensional local context representations
    • Degroeve, S., Saeys, Y., Baets, B.D., Rouz, P., de Peer, Y.V.: SpliceMachine: predicting splice sites from high-dimensional local context representations. Bioinformatics 21 (2005) 1332-1338
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.