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Protein Science
Volumn 5, Issue 4, 1996, Pages 768-774
The importance of larger data sets for protein secondary structure prediction with neural networks
Author keywords

neural networks; secondary structure prediction; structural class prediction
Indexed keywords

ACCURACY; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; DATA BASE; NERVE CELL NETWORK; PREDICTION; PRIORITY JOURNAL; PROTEIN FOLDING; PROTEIN SECONDARY STRUCTURE; PROTEIN STRUCTURE; PROTEIN TERTIARY STRUCTURE;
EID: 0029872773     PISSN: 09618368     EISSN: None     Source Type: Journal    
DOI: 10.1002/pro.5560050422     Document Type: Article
Times cited : (37)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.