David Gifford

David Gifford

Massachusetts Institute of Technology

Professor

Department of Biological Engineering

Research Area

  • #Biology
  • #Computational biology
  • #Transcription factor
  • #Chromatin
  • #Genetics
  • #Genome
  • #Gene
  • #Enhancer
  • #Regulation of gene expression
  • #Cell biology

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Contact information

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Related papers to
‘ Biology ‘ : 34

  • Discovery of directional and nondirectional pioneer transcription factors by modeling DNase profile magnitude and shape

    2014/02

    41.5 Impact Factor

    375 citations

    Richard I. Sherwood, Tatsunori Hashimoto, Charles W O'Donnell, Sophia Lewis, Amira A Barkal, John Peter van Hoff, Vivek Karun, Tommi Jaakkola, David K. Gifford

    DOI : 10.1038/NBT.2798

    • #Biology
    • #Genetics
    • #Computational biology
    • #Population
    • #DNA
    • #Binding site
    • #Plasma protein binding
    • #Transcription factor
    • #Chromatin
    • #Endoderm
    • #DNase-Seq

All papers authored by
‘ David Gifford ’ : 41

  • Discovery of directional and nondirectional pioneer transcription factors by modeling DNase profile magnitude and shape

    2014/02
    NATURE BIOTECHNOLOGY

    41.5 Impact Factor

    375 citations

    Richard I. Sherwood, Tatsunori Hashimoto, Charles W O'Donnell, Sophia Lewis, Amira A Barkal, John Peter van Hoff, Vivek Karun, Tommi Jaakkola, David K. Gifford

    DOI : 10.1038/NBT.2798

    • #Biology
    • #Genetics
    • #Computational biology
    • #Population
    • #DNA
    • #Binding site
    • #Plasma protein binding
    • #Transcription factor
    • #Chromatin
    • #Endoderm
    • #DNase-Seq

Related papers to
‘ Biology ‘ : 34

  • Discovery of directional and nondirectional pioneer transcription factors by modeling DNase profile magnitude and shape

    2014/02
    NATURE BIOTECHNOLOGY

    41.5 Impact Factor

    375 citations

    Richard I. Sherwood, Tatsunori Hashimoto, Charles W O'Donnell, Sophia Lewis, Amira A Barkal, John Peter van Hoff, Vivek Karun, Tommi Jaakkola, David K. Gifford

    DOI : 10.1038/NBT.2798

    • #Biology
    • #Genetics
    • #Computational biology
    • #Population
    • #DNA
    • #Binding site
    • #Plasma protein binding
    • #Transcription factor
    • #Chromatin
    • #Endoderm
    • #DNase-Seq
  • Differentiated human stem cells resemble fetal, not adult, β cells

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

    9.7 Impact Factor

    237 citations

    Sinisa Hrvatin, Charles W O'Donnell, Francis Deng, Jeffrey R. Millman, Felicia Walton Pagliuca, Philip DiIorio, Alireza Rezania, David K. Gifford, Douglas A. Melton

    DOI : 10.1073/PNAS.1400709111

    • #Biology
    • #Molecular biology
    • #Stem cell
    • #Cellular differentiation
    • #Cancer stem cell
    • #Adult stem cell
    • #Induced pluripotent stem cell
    • #KOSR
    • #P19 cell
    • #Amniotic epithelial cells

Get access to
Contact information

Log in

All papers authored by
‘ David Gifford ’ : 41

  • Discovery of directional and nondirectional pioneer transcription factors by modeling DNase profile magnitude and shape

    2014/02
    NATURE BIOTECHNOLOGY

    41.5 Impact Factor

    375 citations

    Richard I. Sherwood, Tatsunori Hashimoto, Charles W O'Donnell, Sophia Lewis, Amira A Barkal, John Peter van Hoff, Vivek Karun, Tommi Jaakkola, David K. Gifford

    DOI : 10.1038/NBT.2798

    • #Biology
    • #Genetics
    • #Computational biology
    • #Population
    • #DNA
    • #Binding site
    • #Plasma protein binding
    • #Transcription factor
    • #Chromatin
    • #Endoderm
    • #DNase-Seq
  • Convolutional neural network architectures for predicting DNA–protein binding

    2016/06
    BIOINFORMATICS

    7.3 Impact Factor

    340 citations

    Haoyang Zeng, Matthew D. Edwards, Ge Liu, David K. Gifford

    DOI : 10.1093/BIOINFORMATICS/BTW255

    • #Computer science
    • #Artificial intelligence
    • #Machine learning
    • #Artificial neural network
    • #Cloud computing
    • #Convolutional neural network
    • #Ranging
    • #Pooling
    • #Network performance
    • #Local sequence
    • #Dna protein

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