@article{Hameed2017,
title = {Selection and classification of gene expression in autism disorder: Use of a combination of statistical filters and a GBPSO-SVM algorithm},
author = {S S Hameed and R Hassan and F F Muhammad},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033361187&doi=10.1371%2fjournal.pone.0187371&partnerID=40&md5=f9260d41165145f229a3cf157699635e},
doi = {10.1371/journal.pone.0187371},
issn = {19326203},
year = {2017},
date = {2017-01-01},
journal = {PLoS ONE},
volume = {12},
number = {11},
publisher = {Public Library of Science},
abstract = {In this work, gene expression in autism spectrum disorder (ASD) is analyzed with the goal of selecting the most attributed genes and performing classification. The objective was achieved by utilizing a combination of various statistical filters and a wrapper-based geometric binary particle swarm optimization-support vector machine (GBPSO-SVM) algorithm. The utilization of different filters was accentuated by incorporating a mean and median ratio criterion to remove very similar genes. The results showed that the most discriminative genes that were identified in the first and last selection steps included the presence of a repetitive gene (CAPS2), which was assigned as the gene most highly related to ASD risk. The merged gene subset that was selected by the GBPSO-SVM algorithm was able to enhance the classification accuracy. © 2017 Hameed et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.},
note = {cited By 11},
keywords = {Accuracy, Algorithms, Article, Autism, Autism Spectrum Disorders, CAPS2 Gene, Classification (of information), Classifier, Experimental Study, Gene, Gene Expression, Gene Identification, Genetic Association, Genetic Procedures, Genetic Risk, Genetics, Geometric Binary Particle Swarm Optimization Support Vector Machine Algorithm, Human, RIsk Assessment, Standardization, Statistical Filter, Statistical Parameters, Statistics, Support Vector Machines},
pubstate = {published},
tppubtype = {article}
}

@article{Cassidy2014112,
title = {Can adults with autism spectrum disorders infer what happened to someone from their emotional response?},
author = {S Cassidy and D Ropar and P Mitchell and P Chapman},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894307909&doi=10.1002%2faur.1351&partnerID=40&md5=8c6736bc006e9eebde29427879d023c3},
doi = {10.1002/aur.1351},
issn = {19393792},
year = {2014},
date = {2014-01-01},
journal = {Autism Research},
volume = {7},
number = {1},
pages = {112-123},
publisher = {John Wiley and Sons Inc.},
abstract = {Can adults with autism spectrum disorders (ASD) infer what happened to someone from their emotional response? Millikan has argued that in everyday life, others' emotions are most commonly used to work out the antecedents of behavior, an ability termed retrodictive mindreading. As those with ASD show difficulties interpreting others' emotions, we predicted that these individuals would have difficulty with retrodictive mindreading. Sixteen adults with high-functioning autism or Asperger's syndrome and 19 typically developing adults viewed 21 video clips of people reacting to one of three gifts (chocolate, monopoly money, or a homemade novelty) and then inferred what gift the recipient received and the emotion expressed by that person. Participants' eye movements were recorded while they viewed the videos. Results showed that participants with ASD were only less accurate when inferring who received a chocolate or homemade gift. This difficulty was not due to lack of understanding what emotions were appropriate in response to each gift, as both groups gave consistent gift and emotion inferences significantly above chance (genuine positive for chocolate and feigned positive for homemade). Those with ASD did not look significantly less to the eyes of faces in the videos, and looking to the eyes did not correlate with accuracy on the task. These results suggest that those with ASD are less accurate when retrodicting events involving recognition of genuine and feigned positive emotions, and challenge claims that lack of attention to the eyes causes emotion recognition difficulties in ASD. Autism Res 2014, 7: 112-123. © 2013 International Society for Autism Research, Wiley Periodicals, Inc.},
note = {cited By 21},
keywords = {Accuracy, Adult, Aged, Article, Asperger Syndrome, Attention, Autism, Behaviour, Cacao, Child Development Disorders, Clinical Article, Concept Formation, Controlled Study, Deception, Discrimination (Psychology), Emotion, Eye Movement, Eye Tracking, Face Processing, Facial Expression, Female, Human, Interpersonal Relations, Male, Middle Aged, Money, Pervasive, Priority Journal, Recipient, Recognition, Reference Values, Retrodictive Mindreading, Spontaneous Emotion Recognition, Theory of Mind, Video Recording, Young Adult},
pubstate = {published},
tppubtype = {article}
}