ArticleBriefings in bioinformatics2022
Challenges and opportunities in network-based solutions for biological questions.
Article in Briefings in bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Modular PheWAS reveals the therapeutic heterogeneity landscape of Danghong injection on stable angina pectoris.Molecular biomedicine · 2026Article
- Data-intensive immune network modelling for One Health.Briefings in bioinformatics · 2026Review
- Leveraging pleiotropy for the improved treatment of psychiatric disorders.Molecular psychiatry · 2025Review
- Simplicity within biological complexity.Bioinformatics advances · 2025Article
- Network Models of BACE-1 Inhibitors: Exploring Structural and Biochemical Relationships.International journal of molecular sciences · 2024Article
- Current and future directions in network biology.Bioinformatics advances · 2024Article
- Repurposing Drugs via Network Analysis: Opportunities for Psychiatric Disorders.Pharmaceutics · 2022Review
- Computational approaches for network-based integrative multi-omics analysis.Frontiers in molecular biosciences · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.