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Prediction of fine-tuned promoter activity from DNA sequence.

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第一作者： Geoffrey,Siwo

第一单位： Eck Institute for Global Health, University of Notre Dame, Notre Dame, IN, USA; Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA; Interdisciplinary Center for Network Science and Applications (iCeNSA), University of Notre Dame, Notre Dame, IN, USA; IBM TJ Watson Research Center, NY, USA; IBM Research-Africa, Johannesberg, South Africa.

作者： Geoffrey,Siwo ^[1] ; Andrew,Rider ^[2] ; Asako,Tan ^[3] ; Richard,Pinapati ^[4] ; Scott,Emrich ^[2] ; Nitesh,Chawla ^[2] ; Michael,Ferdig ^[4]

作者单位： Eck Institute for Global Health, University of Notre Dame, Notre Dame, IN, USA; Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA; Interdisciplinary Center for Network Science and Applications (iCeNSA), University of Notre Dame, Notre Dame, IN, USA; IBM TJ Watson Research Center, NY, USA; IBM Research-Africa, Johannesberg, South Africa. ^[1] Eck Institute for Global Health, University of Notre Dame, Notre Dame, IN, USA; Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA; Interdisciplinary Center for Network Science and Applications (iCeNSA), University of Notre Dame, Notre Dame, IN, USA. ^[2] Eck Institute for Global Health, University of Notre Dame, Notre Dame, IN, USA; Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA; Epicentre, Madison, WI, USA. ^[3] Eck Institute for Global Health, University of Notre Dame, Notre Dame, IN, USA; Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA; Interdisciplinary Center for Network Science and Applications (iCeNSA), University of Notre Dame, Notre Dame, IN, USA. ^[4]

关键词 DNA sequence DREAM challenges Expression prediction Gene expression Gene regulation Machine learning Promoter activity Transcription modeling

DOI 10.12688/f1000research.7485.1

PMID 27347373

发布时间 2022-03-18

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Prediction of fine-tuned promoter activity from DNA sequence.

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Prediction of fine-tuned promoter activity from DNA sequence.

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