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Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests.

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第一作者： Lauren E,Chan

第一单位： Oregon State University, College of Public Health and Human Sciences, Corvallis, OR, USA. Electronic address: laurenchan@uchicago.edu.

作者： Lauren E,Chan ^[1] ; Elena,Casiraghi ^[2] ; Justin,Reese ^[3] ; Quaker E,Harmon ^[4] ; Kevin,Schaper ^[5] ; Harshad,Hegde ^[3] ; Giorgio,Valentini ^[6] ; Charles,Schmitt ^[7] ; Alison,Motsinger-Reif ^[8] ; Janet E,Hall ^[9] ; Christopher J,Mungall ^[3] ; Peter N,Robinson ^[10] ; Melissa A,Haendel ^[11]

作者单位： Oregon State University, College of Public Health and Human Sciences, Corvallis, OR, USA. Electronic address: laurenchan@uchicago.edu. ^[1] AnacletoLab, Dipartimento di Informatica, Università degli Studi di Milano, Italy; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; European Laboratory for Learning and Intelligent Systems, ELLIS. ^[2] Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. ^[3] National Institute of Environmental Health Sciences, Epidemiology Branch, Durham, NC, USA. ^[4] University of Colorado Anschutz Medical Campus, Aurora, CO, USA. ^[5] AnacletoLab, Dipartimento di Informatica, Università degli Studi di Milano, Italy; European Laboratory for Learning and Intelligent Systems, ELLIS. ^[6] National Institute of Environmental Health Sciences, Office of Data Science, Durham, NC, USA. ^[7] National Institute of Environmental Health Sciences, Biostatistics & Computational Biology Branch, Durham, NC, USA. ^[8] National Institute of Environmental Health Sciences, Clinical Research Branch, Durham, NC, USA. ^[9] European Laboratory for Learning and Intelligent Systems, ELLIS; The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, USA. ^[10] University of North Carolina, Dept. of Genetics, Chapel Hill, NC, USA. ^[11]

关键词 Endometriosis Female reproductive disorders Knowledge graph Ontologies Ovarian cysts Random forest