Applications of node-based resilience graph theoretic framework to clustering autism spectrum disorders phenotypes

Applied Network Science
John MattaTayo Obafemi-Ajayi


With the growing ubiquity of data in network form, clustering in the context of a network, represented as a graph, has become increasingly important. Clustering is a very useful data exploratory machine learning tool that allows us to make better sense of heterogeneous data by grouping data with similar attributes based on some criteria. This paper investigates the application of a novel graph theoretic clustering method, Node-Based Resilience clustering (NBR-Clust), to address the heterogeneity of Autism Spectrum Disorder (ASD) and identify meaningful subgroups. The hypothesis is that analysis of these subgroups would reveal relevant biomarkers that would provide a better understanding of ASD phenotypic heterogeneity useful for further ASD studies. We address appropriate graph constructions suited for representing the ASD phenotype data. The sample population is drawn from a very large rigorous dataset: Simons Simplex Collection (SSC). Analysis of the results performed using graph quality measures, internal cluster validation measures, and clinical analysis outcome demonstrate the potential usefulness of resilience measure clustering for biomedical datasets. We also conduct feature extraction analysis to characterize relevant ...Continue Reading


Jun 1, 1989·Journal of Autism and Developmental Disorders·C LordE Schopler
Feb 1, 1994·Journal of Autism and Developmental Disorders·L C EavesD M Eaves
Mar 14, 2000·Journal of the American Academy of Child and Adolescent Psychiatry·M C StevensI Rapin
May 26, 2006·Proceedings of the National Academy of Sciences of the United States of America·M E J Newman
Nov 7, 2007·Journal of Autism and Developmental Disorders·David G IngramJudith H Miles
Dec 1, 2008·Proceedings·William J Cukierski, David J Foran
Nov 9, 2011·Archives of General Psychiatry·Catherine LordSusan Risi
Nov 23, 2011·Journal of Autism and Developmental Disorders·Michael L CuccaroM A Pericak-Vance
Aug 7, 2012·Journal of Child Psychology and Psychiatry, and Allied Disciplines·Stelios GeorgiadesPathways in ASD Study Team
Nov 13, 2012·Journal of Autism and Developmental Disorders·Vanessa HusCatherine Lord
Jan 1, 2014·Genes, Brain, and Behavior·O J VeatchJ L Haines
Feb 12, 2014·Pediatrics·Tara A LavelleLisa A Prosser
Jul 30, 2014·Current Developmental Disorders Reports·Opal Ousley, Tracy Cermak
Oct 30, 2014·Journal of Autism and Developmental Disorders·Tayo Obafemi-AjayiYe Duan
Feb 5, 2016·Current Opinion in Neurology·James C McPartland
Mar 9, 2017·Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society·Khalid Al-JaberyDonald Wunsch
Dec 5, 2017·Journal of Biomedical Informatics·Matt SpencerChi-Ren Shyu
Apr 17, 2018·Royal Society Open Science·A P AlvesU Agero


Nov 13, 2019·Current Pharmaceutical Design·Shogo NakashimaTatsuya Akutsu
May 8, 2021·Clinical Psychology Review·Joost A Agelink van RentergemHilde M Geurts

Methods Mentioned

feature extraction
Feature Selection

Related Concepts

Related Feeds


Autism spectrum disorder is associated with challenges with social skills, repetitive behaviors, and often accompanied by sensory sensitivities and medical issues. Here is the latest research on autism.

Related Papers

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Khalid Al-JaberyDonald Wunsch
Journal of the American Academy of Child and Adolescent Psychiatry
Thomas W FrazierAntonio Y Hardan
Autism : the International Journal of Research and Practice
Dermot Bowler
Autism : the International Journal of Research and Practice
Sven Bölte
© 2021 Meta ULC. All rights reserved