Predicting congenital renal tract malformation genes using machine learning.
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| Title: | Predicting congenital renal tract malformation genes using machine learning. |
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| Authors: | Kabir M; CentreDivision of Evolution, Infection and Genomics, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Oxford Road, Manchester, M13 9PT, UK., Stuart HM; CentreDivision of Evolution, Infection and Genomics, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Oxford Road, Manchester, M13 9PT, UK.; Manchester Centre for Genomic Medicine, St. Mary's Hospital, Health Innovation Manchester, Manchester University Foundation NHS Trust, Manchester, M13 9WL, UK., Lopes FM; Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PL, UK., Fotiou E; Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine, and Health, The University of Manchester, Manchester, M13 9PL, UK.; C.B.B Lifeline Biotech Ltd, 5 Propontidos Street, Strovolos, 2033, Nicosia, Cyprus., Keavney B; Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine, and Health, The University of Manchester, Manchester, M13 9PL, UK.; Manchester Heart Institute, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK., Doig AJ; Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Stopford Building, Manchester, M13 9BL, UK., Woolf AS; Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PL, UK.; Department of Nephrology, Royal Manchester Children's Hospital, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK., Hentges KE; CentreDivision of Evolution, Infection and Genomics, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Oxford Road, Manchester, M13 9PT, UK. Kathryn.hentges@manchester.ac.uk. |
| Source: | Scientific reports [Sci Rep] 2023 Aug 14; Vol. 13 (1), pp. 13204. Date of Electronic Publication: 2023 Aug 14. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-023-38110-z |
