Cargando…

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

BACKGROUND: Complex human health conditions with etiological heterogeneity like Autism Spectrum Disorder (ASD) often pose a challenge for traditional genome-wide association study approaches in defining a clear genotype to phenotype model. Coalitional game theory (CGT) is an exciting method that can...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sun, Min Woo, Moretti, Stefano, Paskov, Kelley M., Stockham, Nate T., Varma, Maya, Chrisman, Brianna S., Washington, Peter Y., Jung, Jae-Yoon, Wall, Dennis P.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2020
Materias:	Methodology Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430867/ https://www.ncbi.nlm.nih.gov/pubmed/32787845 http://dx.doi.org/10.1186/s12859-020-03693-1

Ejemplares similares

Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers
por: Chrisman, Brianna S., et al.
Publicado: (2021)

Identification of Social Engagement Indicators Associated With Autism Spectrum Disorder Using a Game-Based Mobile App: Comparative Study of Gaze Fixation and Visual Scanning Methods
por: Varma, Maya, et al.
Publicado: (2022)

Estimating sequencing error rates using families
por: Paskov, Kelley, et al.
Publicado: (2021)

Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder
por: Varma, Maya, et al.
Publicado: (2019)

A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism
por: Varma, Maya, et al.
Publicado: (2021)

The human “contaminome”: bacterial, viral, and computational contamination in whole genome sequences from 1000 families
por: Chrisman, Brianna, et al.
Publicado: (2022)

Indels in SARS-CoV-2 occur at template-switching hotspots
por: Chrisman, Brianna Sierra, et al.
Publicado: (2021)

Transmission dynamics of human herpesvirus 6A, 6B and 7 from whole genome sequences of families
por: Chrisman, Brianna S., et al.
Publicado: (2022)

Localizing unmapped sequences with families to validate the Telomere-to-Telomere assembly and identify new hotspots for genetic diversity
por: Chrisman, Brianna, et al.
Publicado: (2023)

Coalitional game theory as a promising approach to identify candidate autism genes
por: Gupta, Anika, et al.
Publicado: (2018)

Coalitional Game Theory Facilitates Identification of Non-Coding Variants Associated With Autism
por: Sun, Min Woo, et al.
Publicado: (2019)

A Method for Localizing Non-Reference Sequences to the Human Genome
por: Chrisman, Brianna Sierra, et al.
Publicado: (2022)

Crowd annotations can approximate clinical autism impressions from short home videos with privacy protections
por: Washington, Peter, et al.
Publicado: (2022)

Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation
por: Stockham, Nathaniel, et al.
Publicado: (2022)

Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition
por: Washington, Peter, et al.
Publicado: (2020)

Addendum to the Acknowledgements: Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks
por: Washington, Peter, et al.
Publicado: (2019)

Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks
por: Washington, Peter, et al.
Publicado: (2019)

Feature Selection and Dimension Reduction of Social Autism Data
por: Washington, Peter, et al.
Publicado: (2020)

Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder
por: Washington, Peter, et al.
Publicado: (2021)

Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study
por: Washington, Peter, et al.
Publicado: (2022)

Crowdsourced privacy-preserved feature tagging of short home videos for machine learning ASD detection
por: Washington, Peter, et al.
Publicado: (2021)

Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution
por: Moretti, Stefano, et al.
Publicado: (2008)

Racial and Ethnic Disparities in Geographic Access to Autism Resources Across the US
por: Liu, Bennett M., et al.
Publicado: (2023)

Laundering CNV data for candidate process prioritization in brain disorders
por: Zelenova, Maria A., et al.
Publicado: (2019)

The Shapley value: essays in honor of Lloyd S. Shapley
por: Roth, Alvin E
Publicado: (1988)

Conserved co-expression for candidate disease gene prioritization
por: Oti, Martin, et al.
Publicado: (2008)

Probabilistic prioritization of candidate pathway association with pathway score
por: Lin, Shu-Ju, et al.
Publicado: (2018)

Computational selection and prioritization of candidate genes for Fetal Alcohol Syndrome
por: Lombard, Zané, et al.
Publicado: (2007)

An application of the Shapley value to the analysis of co-expression networks
por: Cesari, Giulia, et al.
Publicado: (2018)

Network-Based Enriched Gene Subnetwork Identification: A Game-Theoretic Approach
por: Razi, Abolfazl, et al.
Publicado: (2016)

Veloities in the shapley supercluster
por: Quintana, H., et al.
Publicado: (1994)

Identification and prioritization of candidate genes for symptom variability in breast cancer survivors based on disease characteristics at the cellular level
por: Koleck, Theresa A, et al.
Publicado: (2016)

In silico molecular cytogenetics: a bioinformatic approach to prioritization of candidate genes and copy number variations for basic and clinical genome research
por: Iourov, Ivan Y, et al.
Publicado: (2014)

Candidate gene prioritization by network analysis of differential expression using machine learning approaches
por: Nitsch, Daniela, et al.
Publicado: (2010)

Prioritization of candidate genes in QTL regions based on associations between traits and biological processes
por: Bargsten, Joachim W, et al.
Publicado: (2014)

Candidate prioritization for low-abundant differentially expressed proteins in 2D-DIGE datasets
por: Nandal, Umesh K, et al.
Publicado: (2015)

Shapley Ratings in Brain Networks
por: Kötter, Rolf, et al.
Publicado: (2007)

On Shapley Ratings in Brain Networks
por: Musegaas, Marieke, et al.
Publicado: (2016)

The Shapley value of regression portfolios
por: Shalit, Haim
Publicado: (2020)

A Low Rank Model for Phenotype Imputation in Autism Spectrum Disorder
por: Paskov, Kelley M., et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_tisdicc0f2e5tu53165bk1trcc