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DeepTetrad: high-throughput image analysis of meiotic tetrads by deep learning in Arabidopsis thaliana.
Lim, Eun-Cheon; Kim, Jaeil; Park, Jihye; Kim, Eun-Jung; Kim, Juhyun; Park, Yeong Mi; Cho, Hyun Seob; Byun, Dohwan; Henderson, Ian R; Copenhaver, Gregory P; Hwang, Ildoo; Choi, Kyuha.
Afiliação
  • Lim EC; Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk, Republic of Korea.
  • Kim J; Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk, Republic of Korea.
  • Park J; Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk, Republic of Korea.
  • Kim EJ; Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk, Republic of Korea.
  • Kim J; Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk, Republic of Korea.
  • Park YM; Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk, Republic of Korea.
  • Cho HS; Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk, Republic of Korea.
  • Byun D; Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk, Republic of Korea.
  • Henderson IR; Department of Plant Sciences, University of Cambridge, Cambridge, CB2 3EA, UK.
  • Copenhaver GP; Department of Biology and the Integrative Program for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Hwang I; Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk, Republic of Korea.
  • Choi K; Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk, Republic of Korea.
Plant J ; 101(2): 473-483, 2020 01.
Article em En | MEDLINE | ID: mdl-31536659
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article