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Predicting gene expression in massively parallel reporter assays: A comparative study.
Kreimer, Anat; Zeng, Haoyang; Edwards, Matthew D; Guo, Yuchun; Tian, Kevin; Shin, Sunyoung; Welch, Rene; Wainberg, Michael; Mohan, Rahul; Sinnott-Armstrong, Nicholas A; Li, Yue; Eraslan, Gökcen; Amin, Talal Bin; Tewhey, Ryan; Sabeti, Pardis C; Goke, Jonathan; Mueller, Nikola S; Kellis, Manolis; Kundaje, Anshul; Beer, Michael A; Keles, Sunduz; Gifford, David K; Yosef, Nir.
Afiliación
  • Kreimer A; Department of Electrical Engineering and Computer Science and Center for Computational Biology, University of California, Berkeley, Berkeley, California.
  • Zeng H; Department of Bioengineering and Therapeutic Sciences, Institute for Human Genetics, University of California, San Francisco, California.
  • Edwards MD; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Guo Y; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Tian K; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Shin S; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Welch R; Department of Statistics, Department of Biostatistics and Medical Informatics University of Wisconsin-Madison, Madison, Wisconsin.
  • Wainberg M; Department of Statistics, Department of Biostatistics and Medical Informatics University of Wisconsin-Madison, Madison, Wisconsin.
  • Mohan R; Department of Genetics, Stanford University School of Medicine, Department of Computer Science, Stanford, California.
  • Sinnott-Armstrong NA; Department of Genetics, Stanford University School of Medicine, Department of Computer Science, Stanford, California.
  • Li Y; Department of Genetics, Stanford University School of Medicine, Department of Computer Science, Stanford, California.
  • Eraslan G; Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Amin TB; Computational Cell Maps, Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.
  • Tewhey R; Computational and Systems Biology, Genome Institute of Singapore, Singapore, 138672, Singapore.
  • Sabeti PC; Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts.
  • Goke J; Broad Institute, Cambridge, Massachusetts.
  • Mueller NS; Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts.
  • Kellis M; Broad Institute, Cambridge, Massachusetts.
  • Kundaje A; Computational and Systems Biology, Genome Institute of Singapore, Singapore, 138672, Singapore.
  • Beer MA; Computational Cell Maps, Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.
  • Keles S; Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Gifford DK; Department of Genetics, Stanford University School of Medicine, Department of Computer Science, Stanford, California.
  • Yosef N; McKusick-Nathans Institute of Genetic Medicine, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland.
Hum Mutat ; 38(9): 1240-1250, 2017 09.
Article en En | MEDLINE | ID: mdl-28220625
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Expresión Génica / Biología Computacional Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Hum Mutat Asunto de la revista: GENETICA MEDICA Año: 2017 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Expresión Génica / Biología Computacional Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Hum Mutat Asunto de la revista: GENETICA MEDICA Año: 2017 Tipo del documento: Article