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Bayesian Inference using Neural Net Likelihood Models for Protein Secondary Structure Prediction

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dc.contributor.author김용기-
dc.date.accessioned2023-08-05T02:46:02Z-
dc.date.available2023-08-05T02:46:02Z-
dc.date.issued2010-04-08-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/66028-
dc.titleBayesian Inference using Neural Net Likelihood Models for Protein Secondary Structure Prediction-
dc.typeConference-
dc.citation.titleProceedings of IMCIC2010-
dc.citation.startPage224-
dc.citation.endPage229-
dc.citation.conferenceNameThe International Multi-Conference on Complexity, Informatics and Ctbernetics: IMCIC2010-
dc.citation.conferencePlace미국-
dc.citation.conferencePlaceOrlando, Florida, USA-
dc.citation.conferenceDate2010-04-06 ~ 2010-04-09-
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