ArticleFrontiers in genetics2020
A Machine Learning Approach to Predicting Autism Risk Genes: Validation of Known Genes and Discovery of New Candidates.
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed, 59 citations in OpenAlex.
- Organoid intelligence: a promising paradigm for autism spectrum disorder research.Molecular psychiatry · 2026Review
- Early autism detection: a review of emerging technologies, biomarkers, and explainable AI approaches.Molecular brain · 2025Review
- A Brief Observation to Screen Autism in Toddlers and Predict Developmental Trajectory.Journal of pediatrics. Clinical practice · 2025Article
- Deep neural networks and deep deterministic policy gradient for early ASD diagnosis and personalized intervention in children.Scientific reports · 2025Article
- An Adaptive Transfer Learning Framework for Multimodal Autism Spectrum Disorder Diagnosis.Life (Basel, Switzerland) · 2025Article
- First Report of a FamiliarBalkan journal of medical genetics : BJMG · 2025Article
- Germline mosaicism in TCF20-associated neurodevelopmental disorders: a case study and literature review.Journal of human genetics · 2025Review
- Sequence variants in HECTD1 result in a variable neurodevelopmental disorder.American journal of human genetics · 2025Article
- A joint complex network and machine learning approach for the identification of discriminative gene communities in autistic brain.PloS one · 2025Article
- Age of machine learning: new trends in autism spectrum disorder prediction.Frontiers in microbiology · 2025Review
- Ranking and Combining Latent Structured Predictive Scores without Labeled Data.IISE transactions · 2024Article
- Proximity analysis of native proteomes reveals phenotypic modifiers in a mouse model of autism and related neurodevelopmental conditions.Nature communications · 2024Article
- The Importance of Large-Scale Genomic Studies to Unravel Genetic Risk Factors for Autism.International journal of molecular sciences · 2024Review
- Article
- A network-based method for associating genes with autism spectrum disorder.Frontiers in bioinformatics · 2024Article
- Neuroimaging genetics approaches to identify new biomarkers for the early diagnosis of autism spectrum disorder.Molecular psychiatry · 2023Review
- Dysfunction of ubiquitin protein ligaseNAR cancer · 2023Article
- The Lost and Found: Unraveling the Functions of Orphan Genes.Journal of developmental biology · 2023Review
- A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare.BioData mining · 2023Article
- Regulation of MAPK Signaling Pathways by the Large HERC Ubiquitin Ligases.International journal of molecular sciences · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition with a strong genetic basis. The role of
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.