ArticleBioinformatics advances2021
CLARINET: efficient learning of dynamic network models from literature.
Article in Bioinformatics advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- VIOLIN: A modular framework for scalable reconciliation of heterogeneous interaction graphs.bioRxiv : the preprint server for biology · 2026Article
- Automated model refinement using perturbation-observation pairs.NPJ systems biology and applications · 2025Article
- Context-aware knowledge selection and reliable model recommendation with ACCORDION.Frontiers in systems biology · 2024Article
- Automated assembly of molecular mechanisms at scale from text mining and curated databases.Molecular systems biology · 2023Article
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
No grant is acknowledged in the PubMed record.
Abstract
Motivation: Creating or extending computational models of complex systems, such as intra- and intercellular biological networks, is a time and labor-intensive task, often limited by the knowledge and experience of modelers. Automating this process would enable rapid, consistent, comprehensive and robust analysis and understanding of complex systems. Results: In this work, we present CLARINET ( Availability and implementation: The data underlying this article are available in Bitbucket at https://bitbucket.org/biodesignlab/clarinet/src/master/. Supplementary information: Supplementary data are available at
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.