Challenges and opportunities in network-based solutions for biological questions. Issue 1 (24th November 2021)

• Record Type: Journal Article
• Authors: Guo, Margaret G; Sosa, Daniel N; Altman, Russ B
• Is Part Of: Briefings in bioinformatics. Volume 23:Issue 1(2022)
• Publication Date: 2021-11-24
• Subjects: networks -- knowledge graphs -- embeddings -- interpretability -- biological validation; Genetics -- Data processing -- Periodicals; Molecular biology -- Data processing -- Periodicals; Genomes -- Data processing -- Periodicals; 572.80285
• DOI: 10.1093/bib/bbab437
• Languages: English
• ISSNs: 1467-5463

Abstract

Abstract: 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.