Article

DAWN-SCAPE: Discovering Associations With Networks through Shared Contextual Analysis of Phenotype and Expression

2025-12-11

Abstract excerpt

The molecular basis of phenotypes is often explored by contrasting gene expression from relevant tissue taken from individuals classified into phenotypic extremes, such as affected versus unaffected individuals. Analysis of this differential expression (DE) typically identifies many genes of interest. However, it is not clear which genes differ between extremes because they alter phenotypic liability and which sho...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f8128b12-05c1-517e-8cbd-a8b18886dc0f
DOI: 10.64898/2025.12.09.691744

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

DAWN-SCAPE: Discovering Associations With Networks through Shared Contextual Analysis of Phenotype and ExpressionDOI 10.64898/2025.12.09.691744Read

Exploiting aberrant mRNA expression in autism for gene discovery and diagnosisSemantic proximity Read

Exploiting aberrant mRNA expression in autism for gene discovery and diagnosis.Semantic proximity Read

SFARI Genes and where to find them; classification modelling to identify genes associated with Autism Spectrum Disorder from RNA-seq dataSemantic proximity Read

Calculating the Effects of Autism Risk Gene Variants on Dysfunction of Biological Processes Identifies Clinically-Useful InformationSemantic proximity Read

Neuron-specific protein network mapping of autism risk genes identifies shared biological mechanisms and disease relevant pathologiesSemantic proximity Read

Characterizing genetic pathways unique to autism spectrum disorder at multiple levels of biological analysis.Semantic proximity Read

Connecting phenotype to genotype: PheWAS-inspired analysis of autism spectrum disorderSemantic proximity Read

Networks of neuronal genes affected by common and rare variants in autism spectrum disorders.Semantic proximity Read

Network- and attribute-based classifiers can prioritize genes and pathways for autism spectrum disorders and intellectual disability.Semantic proximity Read

Curation of causal interactions mediated by genes associated to autism accelerates the understanding of gene-phenotype relationships underlying neurodevelopmental disordersSemantic proximity Read

Forecasting risk gene discovery in autism with machine learning and genome-scale data.Semantic proximity Read

Probing genetic overlap among complex human phenotypes.Semantic proximity Read