ArticlePatterns (New York, N.Y.)2021
SIMON: Open-Source Knowledge Discovery Platform.
Article in Patterns (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Helix 1.0: An open-source framework for reproducible and interpretable machine learning on tabular scientific data.Patterns (New York, N.Y.) · 2026Article
- Integrative mapping of preexisting influenza immune landscapes predicts vaccine response.The Journal of clinical investigation · 2025Article
- GeM-LR: Discovering predictive biomarkers for small datasets in vaccine studies.PLoS computational biology · 2024Article
- Obesity differs from diabetes mellitus in antibody and T-cell responses post-COVID-19 recovery.Clinical and experimental immunology · 2024Article
- Robustness and reproducibility for AI learning in biomedical sciences: RENOIR.Scientific reports · 2024Article
- Omicron infection following vaccination enhances a broad spectrum of immune responses dependent on infection history.Nature communications · 2023Article
- Divergent trajectories of antiviral memory after SARS-CoV-2 infection.Nature communications · 2022Article
- Article
- Evaluating the Immune Response in Treatment-Naive Hospitalised Patients With Influenza and COVID-19.Frontiers in immunology · 2022Article
- The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires.Nature machine intelligence · 2021Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
Abstract
Data analysis and knowledge discovery has become more and more important in biology and medicine with the increasing complexity of biological datasets, but the necessarily sophisticated programming skills and in-depth understanding of algorithms needed pose barriers to most biologists and clinicians to perform such research. We have developed a modular open-source software, SIMON, to facilitate the application of 180+ state-of-the-art machine-learning algorithms to high-dimensional biomedical data. With an easy-to-use graphical user interface, standardized pipelines, and automated approach for machine learning and other statistical analysis methods, SIMON helps to identify optimal algorithms and provides a resource that empowers non-technical and technical researchers to identify crucial patterns in biomedical data.
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.