Publisher Correction: Accuracy and data efficiency in deep learning models of protein expression

被引:0
|
作者
Evangelos-Marios Nikolados
Arin Wongprommoon
Oisin Mac Aodha
Guillaume Cambray
Diego A. Oyarzún
机构
[1] University of Edinburgh,School of Biological Sciences
[2] University of Edinburgh,School of Informatics
[3] The Alan Turing Institute,Diversité des Génomes et Interactions Microorganismes Insectes
[4] University of Montpellier,Centre de Biologie Structurale
[5] University of Montpellier,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Accuracy and data efficiency in deep learning models of protein expression
    Nikolados, Evangelos-Marios
    Wongprommoon, Arin
    Aodha, Oisin Mac
    Cambray, Guillaume
    Oyarzun, Diego A.
    [J]. NATURE COMMUNICATIONS, 2022, 13 (01)
  • [2] Accuracy and data efficiency in deep learning models of protein expression
    Evangelos-Marios Nikolados
    Arin Wongprommoon
    Oisin Mac Aodha
    Guillaume Cambray
    Diego A. Oyarzún
    [J]. Nature Communications, 13
  • [3] Accuracy and data efficiency in deep learning models of protein expression(vol 13,7755, 2022)
    Nikolados, Evangelos-Marios
    Wongprommoon, Arin
    Mac Aodha, Oisin
    Cambray, Guillaume
    Oyarzun, Diego A.
    [J]. NATURE COMMUNICATIONS, 2023, 14 (01)
  • [4] Publisher Correction: Disease variant prediction with deep generative models of evolutionary data
    Jonathan Frazer
    Pascal Notin
    Mafalda Dias
    Aidan Gomez
    Joseph K. Min
    Kelly Brock
    Yarin Gal
    Debora S. Marks
    [J]. Nature, 2022, 601 : E7 - E7
  • [5] Publisher Correction: Optimizing the dynamics of protein expression
    Jan-Hendrik Trösemeier
    Sophia Rudorf
    Holger Loessner
    Benjamin Hofner
    Andreas Reuter
    Thomas Schulenborg
    Ina Koch
    Isabelle Bekeredjian-Ding
    Reinhard Lipowsky
    Christel Kamp
    [J]. Scientific Reports, 10 (1)
  • [6] Publisher Correction: Converting tabular data into images for deep learning with convolutional neural networks
    Yitan Zhu
    Thomas Brettin
    Fangfang Xia
    Alexander Partin
    Maulik Shukla
    Hyunseung Yoo
    Yvonne A. Evrard
    James H. Doroshow
    Rick L. Stevens
    [J]. Scientific Reports, 11
  • [7] Publisher Correction: Deep learning enables fast and dense single-molecule localization with high accuracy
    Artur Speiser
    Lucas-Raphael Müller
    Philipp Hoess
    Ulf Matti
    Christopher J. Obara
    Wesley R. Legant
    Anna Kreshuk
    Jakob H. Macke
    Jonas Ries
    Srinivas C. Turaga
    [J]. Nature Methods, 2021, 18 : 1410 - 1410
  • [8] Statistical and deep learning models for reference evapotranspiration time series forecasting: A comparison of accuracy, complexity, and data efficiency
    Ahmadi, Arman
    Daccache, Andre
    Sadegh, Mojtaba
    Snyder, Richard L.
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 215
  • [9] Publisher Correction: Improving the accuracy of medical diagnosis with causal machine learning
    Jonathan G. Richens
    Ciarán M. Lee
    Saurabh Johri
    [J]. Nature Communications, 11
  • [10] Publisher Correction: Learning MRI artefact removal with unpaired data
    Siyuan Liu
    Kim-Han Thung
    Liangqiong Qu
    Weili Lin
    Dinggang Shen
    Pew-Thian Yap
    [J]. Nature Machine Intelligence, 2021, 3 (2) : 181 - 181