ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2018
A Low Rank Model for Phenotype Imputation in Autism Spectrum Disorder.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The trial behind it
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Who cites it
3 citing papers in PubMed.
- Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2021Article
- Feature replacement methods enable reliable home video analysis for machine learning detection of autism.Scientific reports · 2020Article
- Feature Selection and Dimension Reduction of Social Autism Data.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Autism Spectrum Disorder is a highly heterogeneous condition currently diagnosed using behavioral symptoms. A better understanding of the phenotypic subtypes of autism is a necessary component of the larger goal of mapping autism genotype to phenotype. However, as with most clinical records describing human disease, the phenotypic data available for autism contains varying levels of noise and incompleteness that complicate analysis. Here we analyze behavioral data from 16,291 subjects using 250 items from three gold standard diagnostic instruments. We apply a low-rank model to impute missing entries and entire missing instruments with high fidelity, showing that we can complete clinical records for all subjects. Finally, we analyze the low-rank representation of our subjects to identify plausible subtypes of autism, setting the stage for genome-to-phenome prediction experiments. These procedures can be adapted and used with other similarly structured clinical records to enable a more complete mapping between genome and phenome.
Identifiers
29888068PMC5961817What OpenQuestion holds
Registered trials
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