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  • 제목 : 유전자재조합생물체(LMO)의 동시 검출을 위한 multiplex-PCR법 개발(Ⅱ)

    발행일 : 2014-01-01 | 조회수 : 2677

    카테고리 :

    2 . 2012 Caen NK603 2013 2014 S?ralini et al., 2012a, 2012b, 2013, 2014 . LMO , , , , Agbios, 2001 LM , ...

  • 제목 : 낙동강 중·하류지역 생태공간 조사·평가 : 부록

    발행일 : 2018-01-01 | 조회수 : 28017

    카테고리 :

    12

  • 제목 : (2017) 유전자 기반 LMO의 안전성 평가기반 구축

    발행일 : 2017-01-01 | 조회수 : 4284

    카테고리 :

    xi ················································································································ i ·················································································································· xi ············································································································ xvi ·······························...

  • 제목 : PNIE(Proceedings of National Institute of Ecology) Vol. 2 Issue 1

    발행일 : | 조회수 : 1855

    카테고리 :

    Saro Lee, Fatemeh Rezaie 10 PNIE 2021;2 1 1-14 respectively Fig. 5 Moreover, The FR, CNN, and LSTM models had AUC of 0.73, 0.70 and 0.73 during the testing phase. Discussion The present study was executed to assess the ability of deep learning algorithms CNN and LSTM to identify the spatial relationships between the possible roe deer habitat and related environmental factors for the first time. In...

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