Sungroh Yoon

Sungroh Yoon

Seoul National University

Associate Professor

Department of Electrical and Computer Engineering

Research Area

  • #Computer science
  • #Artificial intelligence
  • #Medicine
  • #Internal medicine
  • #Deep learning
  • #Oncology
  • #Computational biology
  • #Prostate cancer
  • #Machine learning
  • #Artificial neural network

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Contact information

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Related papers to
‘ Computer science ‘ : 36

  • Deep learning in bioinformatics

    2016/07

    5.1 Impact Factor

    871 citations

    Seonwoo Min, Byunghan Lee, Sungroh Yoon

    DOI : 10.1093/BIB/BBW068

    • #Computer science
    • #Artificial intelligence
    • #Bioinformatics
    • #Data science
    • #Artificial neural network
    • #Architecture
    • #Convolutional neural network
    • #Categorization
    • #Big data
    • #Biomedical signal
    • #Deep learning
    • #Recurrent neural network

All papers authored by
‘ Sungroh Yoon ’ : 59

  • Deep learning in bioinformatics

    2016/07
    BRIEFINGS IN BIOINFORMATICS

    5.1 Impact Factor

    871 citations

    Seonwoo Min, Byunghan Lee, Sungroh Yoon

    DOI : 10.1093/BIB/BBW068

    • #Computer science
    • #Artificial intelligence
    • #Bioinformatics
    • #Data science
    • #Artificial neural network
    • #Architecture
    • #Convolutional neural network
    • #Categorization
    • #Big data
    • #Biomedical signal
    • #Deep learning
    • #Recurrent neural network

Related papers to
‘ Computer science ‘ : 36

  • Deep learning in bioinformatics

    2016/07
    BRIEFINGS IN BIOINFORMATICS

    5.1 Impact Factor

    871 citations

    Seonwoo Min, Byunghan Lee, Sungroh Yoon

    DOI : 10.1093/BIB/BBW068

    • #Computer science
    • #Artificial intelligence
    • #Bioinformatics
    • #Data science
    • #Artificial neural network
    • #Architecture
    • #Convolutional neural network
    • #Categorization
    • #Big data
    • #Biomedical signal
    • #Deep learning
    • #Recurrent neural network
  • RNA design rules from a massive open laboratory

    2014/02
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

    9.7 Impact Factor

    262 citations

    Jeehyung Lee, Wipapat Kladwang, Minjae Lee, Daniel Cantu, Martin Azizyan, Hanjoo Kim, Alex Limpaecher, Snehal Gaikwad, Sungroh Yoon, Adrien Treuille, Rhiju Das, EteRNA Participants

    DOI : 10.1073/PNAS.1313039111

    • #Computer science
    • #Artificial intelligence
    • #World Wide Web
    • #Machine learning
    • #Software
    • #Algorithm design
    • #Crowdsourcing
    • #Living systems
    • #Online community
    • #Wet laboratory
    • #RNA
    • #Nucleic acid secondary structure

Get access to
Contact information

Log in

All papers authored by
‘ Sungroh Yoon ’ : 59

  • Deep learning in bioinformatics

    2016/07
    BRIEFINGS IN BIOINFORMATICS

    5.1 Impact Factor

    871 citations

    Seonwoo Min, Byunghan Lee, Sungroh Yoon

    DOI : 10.1093/BIB/BBW068

    • #Computer science
    • #Artificial intelligence
    • #Bioinformatics
    • #Data science
    • #Artificial neural network
    • #Architecture
    • #Convolutional neural network
    • #Categorization
    • #Big data
    • #Biomedical signal
    • #Deep learning
    • #Recurrent neural network
  • RNA design rules from a massive open laboratory

    2014/02
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

    9.7 Impact Factor

    262 citations

    Jeehyung Lee, Wipapat Kladwang, Minjae Lee, Daniel Cantu, Martin Azizyan, Hanjoo Kim, Alex Limpaecher, Snehal Gaikwad, Sungroh Yoon, Adrien Treuille, Rhiju Das, EteRNA Participants

    DOI : 10.1073/PNAS.1313039111

    • #Computer science
    • #Artificial intelligence
    • #World Wide Web
    • #Machine learning
    • #Software
    • #Algorithm design
    • #Crowdsourcing
    • #Living systems
    • #Online community
    • #Wet laboratory
    • #RNA
    • #Nucleic acid secondary structure

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