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Akademický článek

An Informatics Analysis to Identify Sex Disparities and Healthcare Needs for Autism across the United States.

Autor: Stockham NT; Stanford University, Stanford, California., Paskov KM; Stanford University, Stanford, California.; These authors contributed equally., Tabatabaei K; Stanford University, Stanford, California.; McMaster University, Hamilton, Canada., Sutaria S; Stanford University, Stanford, California., Liu B; Stanford University, Stanford, California., Kent J; Stanford University, Stanford, California., Wall DP; Stanford University, Stanford, California.

Publikováno v: AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science [AMIA Jt Summits Transl Sci Proc] 2022 May 23; Vol. 2022, pp. 456-465. Date of Electronic Publication: 2022 May 23 (Print Publication: 2022).

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Akademický článek

Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study.

Autor: Washington P; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States., Kalantarian H; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States., Kent J; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States., Husic A; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States., Kline A; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States., Leblanc E; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States., Hou C; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States., Mutlu OC; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States., Dunlap K; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States., Penev Y; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States., Varma M; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States., Stockham NT; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States., Chrisman B; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States., Paskov K; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States., Sun MW; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States., Jung JY; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States., Voss C; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States., Haber N; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States., Wall DP; Departments of Pediatrics (Systems Medicine) and Biomedical Data Science, Stanford University, Stanford, CA, United States.

Publikováno v: JMIR pediatrics and parenting [JMIR Pediatr Parent] 2022 Apr 08; Vol. 5 (2), pp. e26760. Date of Electronic Publication: 2022 Apr 08.

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Akademický článek

A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism.

Autor: Varma M; Department of Computer Science, Stanford University, Stanford, CA, USA., Paskov KM; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA., Chrisman BS; Department of Bioengineering, Stanford University, Stanford, CA, USA., Sun MW; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA., Jung JY; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.; Department of Pediatrics, Stanford University, Stanford, CA, USA., Stockham NT; Department of Neuroscience, Stanford University, Stanford, CA, USA., Washington PY; Department of Bioengineering, Stanford University, Stanford, CA, USA., Wall DP; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA. dpwall@stanford.edu.; Department of Pediatrics, Stanford University, Stanford, CA, USA. dpwall@stanford.edu.

Publikováno v: BioData mining [BioData Min] 2021 May 03; Vol. 14 (1), pp. 28. Date of Electronic Publication: 2021 May 03.

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Akademický článek

Estimating sequencing error rates using families.

Autor: Paskov K; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA. kpaskov@stanford.edu., Jung JY; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.; Department of Pediatrics (Systems Medicine), Stanford University, Stanford, CA, USA., Chrisman B; Department of Bioengineering, Stanford University, Stanford, CA, USA., Stockham NT; Department of Neuroscience, Stanford University, Stanford, CA, USA., Washington P; Department of Bioengineering, Stanford University, Stanford, CA, USA., Varma M; Department of Computer Science, Stanford University, Stanford, CA, USA., Sun MW; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA., Wall DP; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA. dpwall@stanford.edu.; Department of Pediatrics (Systems Medicine), Stanford University, Stanford, CA, USA. dpwall@stanford.edu.

Publikováno v: BioData mining [BioData Min] 2021 Apr 23; Vol. 14 (1), pp. 27. Date of Electronic Publication: 2021 Apr 23.

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Akademický článek

Game theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley value.

Autor: Sun MW; Department of Biomedical Data Science, Stanford University, Stanford, USA.; Department of Pediatrics, Stanford University, Stanford, USA., Moretti S; LAMSADE, CNRS, Université Paris-Dauphine, Université PSL, Paris, France., Paskov KM; Department of Biomedical Data Science, Stanford University, Stanford, USA., Stockham NT; Department of Neuroscience, Stanford University, Stanford, USA., Varma M; Department of Computer Science, Stanford University, Stanford, USA., Chrisman BS; Department of Bioengineering, Stanford University, Stanford, USA., Washington PY; Department of Bioengineering, Stanford University, Stanford, USA., Jung JY; Department of Biomedical Data Science, Stanford University, Stanford, USA.; Department of Pediatrics, Stanford University, Stanford, USA., Wall DP; Department of Biomedical Data Science, Stanford University, Stanford, USA. dpwall@stanford.edu.; Department of Pediatrics, Stanford University, Stanford, USA. dpwall@stanford.edu.; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, United States. dpwall@stanford.edu.

Publikováno v: BMC bioinformatics [BMC Bioinformatics] 2020 Aug 12; Vol. 21 (1), pp. 356. Date of Electronic Publication: 2020 Aug 12.

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Akademický článek

Coalitional Game Theory Facilitates Identification of Non-Coding Variants Associated With Autism.

Autor: Sun MW; Departments of Pediatrics (Division of Systems Medicine), Psychiatry (by courtesy), and Biomedical Data Science, Stanford University, Stanford, CA, USA., Gupta A; Departments of Pediatrics (Division of Systems Medicine), Psychiatry (by courtesy), and Biomedical Data Science, Stanford University, Stanford, CA, USA., Varma M; Departments of Pediatrics (Division of Systems Medicine), Psychiatry (by courtesy), and Biomedical Data Science, Stanford University, Stanford, CA, USA., Paskov KM; Departments of Pediatrics (Division of Systems Medicine), Psychiatry (by courtesy), and Biomedical Data Science, Stanford University, Stanford, CA, USA., Jung JY; Departments of Pediatrics (Division of Systems Medicine), Psychiatry (by courtesy), and Biomedical Data Science, Stanford University, Stanford, CA, USA., Stockham NT; Departments of Pediatrics (Division of Systems Medicine), Psychiatry (by courtesy), and Biomedical Data Science, Stanford University, Stanford, CA, USA., Wall DP; Departments of Pediatrics (Division of Systems Medicine), Psychiatry (by courtesy), and Biomedical Data Science, Stanford University, Stanford, CA, USA.

Publikováno v: Biomedical informatics insights [Biomed Inform Insights] 2019 Mar 08; Vol. 11, pp. 1178222619832859. Date of Electronic Publication: 2019 Mar 08 (Print Publication: 2019).

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Akademický článek

Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder.

Autor: Varma M; Departments of Computer Science, Stanford University, Stanford, CA 94305, USA., Paskov KM, Jung JY, Sierra Chrisman B, Stockham NT, Washington PY, Wall DP

Publikováno v: Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing [Pac Symp Biocomput] 2019; Vol. 24, pp. 260-271.

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Akademický článek

Coalitional game theory as a promising approach to identify candidate autism genes.

Autor: Gupta A; Departments of Pediatrics and Biomedical Data Sciences, Stanford University 1265 Welch Road, Palo Alto, CA 94305, United States., Sun MW, Paskov KM, Stockham NT, Jung JY, Wall DP

Publikováno v: Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing [Pac Symp Biocomput] 2018; Vol. 23, pp. 436-447.

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