Network biology is useful for modeling complex biological phenomena; it has attracted attention with the advent of novel graph-based machine learning methods. However, biological applications of network methods often suffer from inadequate follow-up. In this perspective, we discuss obstacles for contemporary network approaches-particularly focusing on challenges representing biological concepts, applying machine learning methods, and interpreting and validating computational findings about biology-in an effort to catalyze actionable biological discovery.
CITATION STYLE
Guo, M. G., Sosa, D. N., & Altman, R. B. (2022). Challenges and opportunities in network-based solutions for biological questions. Briefings in Bioinformatics, 23(1). https://doi.org/10.1093/bib/bbab437
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