Research Articles
A Comprehensive Guide to Disease Network Alignment: Methods, Applications, and Best Practices for Biomedical Research
Network alignment has emerged as a powerful computational framework for comparing biological systems across different species or disease states, offering profound insights into conserved functional modules, evolutionary relationships, and dysregulated...
From In Silico to In Vitro: A Comprehensive Guide to Validating Computational Predictions with RNAi and RT-PCR
This article provides a systematic framework for researchers and drug development professionals to bridge computational predictions and experimental biology.
Topological vs. Functional Brain Networks: A Comparative Guide for Research and Clinical Translation
This article provides a comprehensive comparison of topological and functional brain network properties, tailored for neuroscience researchers and drug development professionals.
Assessing Predictive Models of Patient Outcomes: From Machine Learning to Clinical Impact
This article provides a comprehensive framework for researchers and drug development professionals to develop, evaluate, and implement predictive models for patient outcomes.
Network-Based Biomarker Evaluation: From Discovery to Clinical Validation
This article provides a comprehensive framework for evaluating the performance of network-based biomarkers, a transformative approach in precision oncology and drug development.
From Single-Omics to Multi-Omics: A Comprehensive Guide to High-Resolution Biological Insights and Clinical Translation
This article provides a thorough comparison of single-omics and multi-omics approaches, tailored for researchers and drug development professionals.
From Networks to Cures: Validating Disease Modules Through Experimental Perturbation
This article provides a comprehensive guide for researchers and drug development professionals on validating disease modules—localized neighborhoods within molecular interaction networks perturbed in disease—through experimental perturbation.
Comparative Analysis of Epistasis Detection Tools: A Guide for Researchers and Drug Developers
This article provides a comprehensive comparative analysis of computational tools for detecting epistasis (gene-gene interactions) in genetic studies.
Benchmarking Network Inference Algorithms: A Practical Guide for Disease Mechanism Research and Drug Discovery
Accurately inferring biological networks from high-throughput data is crucial for understanding disease mechanisms and identifying therapeutic targets.
Assessing the Robustness of Data Imputation Methods: A Guide for Biomedical Researchers
Missing data presents a significant challenge in biomedical research, potentially compromising the reliability of AI models and clinical study results.