Research Articles
Beyond the Gene List: Validating Centrality Measures for Powerful ASD Gene Discovery
Autism Spectrum Disorder (ASD) presents immense genetic heterogeneity, challenging the identification of true risk genes.
Network Biology and Machine Learning for Prioritizing Brain-Expressed ASD Risk Genes
This article synthesizes current computational strategies for identifying and prioritizing autism spectrum disorder (ASD) risk genes specifically expressed in the brain.
Enhancing Specificity in Autism PPI Networks: From Foundational Maps to Clinical Translation
This article synthesizes the latest methodological and conceptual advances in building specific Protein-Protein Interaction (PPI) networks for Autism Spectrum Disorder (ASD).
Network Biology in Autism Spectrum Disorder: From Molecular Mechanisms to Precision Therapeutics
This comprehensive review explores how biological network analysis is transforming our understanding of Autism Spectrum Disorder's complex etiology.
Machine Learning Decodes Autism Heterogeneity: A New Framework for Biologically Distinct ASD Subtypes and Precision Medicine
This article synthesizes the latest breakthroughs in machine learning (ML) for autism spectrum disorder (ASD) subtyping, a pivotal shift from behavior-based to biology-driven classification.
Integrating Multi-Omics in Autism Research: From Molecular Networks to Precision Therapeutics
This article provides a comprehensive overview of the transformative role of multi-omics integration in advancing autism spectrum disorder (ASD) research.
Decoding Autism Heterogeneity: A Tensor Decomposition Framework for fMRI-Based Subtype Discovery
Autism Spectrum Disorder (ASD) is characterized by significant clinical and biological heterogeneity, posing challenges for diagnosis and therapeutic development.
Advanced Strategies for Prioritizing ASD Genes in Large and Noisy Genomic Datasets
The identification of Autism Spectrum Disorder (ASD) risk genes is complicated by the condition's complex genetic architecture and the challenge of discerning true signals within large, noisy genomic datasets.
Network Biology of Autism: Decoding the Protein Interactome for Therapeutic Insights
This article provides a comprehensive overview for researchers and drug development professionals on how topological analysis of Protein-Protein Interaction (PPI) networks is revolutionizing our understanding of Autism Spectrum Disorder (ASD).
Integrating Systems Biology and Copy Number Variant Analysis: From Gene Networks to Clinical Diagnostics
This article explores the powerful integration of copy number variant (CNV) analysis with systems biology approaches to unravel complex genetic architectures in human disease.