Predicting congenital renal tract malformation genes using machine learning.
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ABSTRACT:
SUBMITTER: Kabir M
PROVIDER: S-EPMC10425350 | biostudies-literature | 2023 Aug
REPOSITORIES: biostudies-literature
Publications
Predicting congenital renal tract malformation genes using machine learning.
Kabir Mitra M Stuart Helen M HM Lopes Filipa M FM Fotiou Elisavet E Keavney Bernard B Doig Andrew J AJ Woolf Adrian S AS Hentges Kathryn E KE
Scientific reports 20230814 1
Congenital renal tract malformations (RTMs) are the major cause of severe kidney failure in children. Studies to date have identified defined genetic causes for only a minority of human RTMs. While some RTMs may be caused by poorly defined environmental perturbations affecting organogenesis, it is likely that numerous causative genetic variants have yet to be identified. Unfortunately, the speed of discovering further genetic causes for RTMs is limited by challenges in prioritising candidate gen ...[more]
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