CAGI6 ID-Challenge: Assessment of phenotype and variant predictions in 415 children with Neurodevelopmental Disorders (NDDs).

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Bibliographic Details
Title: CAGI6 ID-Challenge: Assessment of phenotype and variant predictions in 415 children with Neurodevelopmental Disorders (NDDs).
Authors: Aspromonte MC; Department of Biomedical Sciences, University of Padova., Conte AD; Department of Biomedical Sciences, University of Padova., Zhu S; Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843., Tan W; Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843., Shen Y; Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843., Zhang Y; CUHK Shenzhen Research Institute, Shenzhen., Li Q; CUHK Shenzhen Research Institute, Shenzhen., Wang MH; CUHK Shenzhen Research Institute, Shenzhen., Babbi G; Biocomputing Group, Department of Pharmacy and Biotechnology, University of Bologna., Bovo S; Department of Agricultural and Food Sciences, University of Bologna., Martelli PL; Biocomputing Group, Department of Pharmacy and Biotechnology, University of Bologna., Casadio R; Biocomputing Group, Department of Pharmacy and Biotechnology, University of Bologna., Althagafi A; Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences & Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal 23., Toonsi S; Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences & Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal 23., Kulmanov M; Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences & Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal 23., Hoehndorf R; Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences & Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal 23., Katsonis P; Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030., Williams A; Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030., Lichtarge O; Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030., Xian S; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195., Surento W; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195., Pejaver V; Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029., Mooney SD; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195., Sunderam U; Innovation Labs, Tata Consultancy Services, Hyderabad., Srinivasan R; Innovation Labs, Tata Consultancy Services, Hyderabad., Murgia A; Department of Women's and Children's Health, University of Padova., Piovesan D; Department of Biomedical Sciences, University of Padova., Tosatto SCE; Department of Biomedical Sciences, University of Padova., Leonardi E; Department of Biomedical Sciences, University of Padova.
Source: Research square [Res Sq] 2023 Aug 02. Date of Electronic Publication: 2023 Aug 02.
Publication Type: Preprint; Journal Article
Journal Info: Country of Publication: United States NLM ID: 101768035 Publication Model: Electronic Cited Medium: Internet ISSN: 2693-5015 (Electronic) Linking ISSN: 26935015 NLM ISO Abbreviation: Res Sq Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2693-5015
DOI:10.21203/rs.3.rs-3209168/v1