ArticleComputational and mathematical methods in medicine2020
Network Structure Analysis Identifying Key Genes of Autism and Its Mechanism.
Article in Computational and mathematical methods in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Exploring key genes and pathways associated with sex differences in autism spectrum disorder: integrated bioinformatic analysis.Mammalian genome : official journal of the International Mammalian Genome Society · 2024Article
- Identifying Genes Related to Acute Myocardial Infarction Based on Network Control Capability.Genes · 2022Article
- Integrative Functional Genomic Analysis in Multiplex Autism Families from Kazakhstan.Disease markers · 2022Article
- NR4A3 and CCL20 clusters dominate the genetic networks in CD146European journal of medical research · 2021Article
- Clustering Analysis Supports the Detection of Biological Processes Related to Autism Spectrum Disorder.Genes · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identifying the key genes of autism is of great significance for understanding its pathogenesis and improving the clinical level of medicine. In this paper, we use the structural parameters (average degree) of gene correlation networks to identify genes related to autism and study its pathogenesis. Based on the gene expression profiles of 82 autistic patients (the experimental group,
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