ArticleJournal of open source software2021
mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines.
Article in Journal of open source software, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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
32 citing papers in PubMed.
- Gut microbial bile and amino acid metabolism associate with peanut oral immunotherapy failure.Nature communications · 2025Trial
- Dynamic flexibility of the murine gut microbiota during morphine disturbance enables escape from the stable dysbiosis that is associated with addiction-like behavior.Gut microbes · 2026Article
- An adipocyte-endothelial framework linking adipose tissue inflammation to cardiometabolic vulnerability in obesity.Research square · 2026Article
- An adipocyte-endothelial framework to identify molecular signatures of metabolic vulnerability in obesity.Research square · 2026Article
- Application of Mass Spectrometry-Based Metabolomics and Machine Learning in the Diagnostics of Lyme Neuroborreliosis.ACS omega · 2026Article
- Unlocking the Metagenome: Pipeline for Microbiome Data Analysis.Methods in molecular biology (Clifton, N.J.) · 2026Article
- LungMicroHostR: an R package for integrated host-microbiome analysis of bronchoalveolar lavage fluid metagenomic sequencing data.Frontiers in bioinformatics · 2026Article
- A novel dataset of 2,362 equine fecal microbiomes from veterinary teaching hospitals across three countries reveals effects of geography and disease.Animal microbiome · 2025Article
- Oral and fecal microbiota in Chinese adults with obesity reveal potential niche-specific microbiota associated with obesity.BMC microbiology · 2025Article
- Prediction of symptomatic and asymptomatic bacteriuria in spinal cord injury patients using machine learning.Microbiome · 2025Article
- Integration of metagenome-assembled genomes with clinical isolates expands the genomic landscape of gut-associated Klebsiella pneumoniae.Nature communications · 2025Article
- The MR1/MAIT cell axis impacts the gut-brain axis through both cognition and microbial community structure in 5XFAD mice.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Is Short-Read 16S rRNA Sequencing of Oral Microbiome Sampling a Suitable Diagnostic Tool for Head and Neck Cancer?Pathogens (Basel, Switzerland) · 2024Article
- Gut community structure as a risk factor for infection inmSystems · 2024Article
- Article
- Identification of carbohydrate gene clusters obtained from in vitro fermentations as predictive biomarkers of prebiotic responses.BMC microbiology · 2024Article
- Quantitative microbiome profiling of honey bee (Apis mellifera) guts is predictive of winter colony loss in northern Virginia (USA).Scientific reports · 2024Article
- Predictive modelling of transport decisions and resources optimisation in pre-hospital setting using machine learning techniques.PloS one · 2024Article
- Article
- Predicting Participation Willingness in Ecological Momentary Assessment of General Population Health and Behavior: Machine Learning Study.Journal of medical Internet research · 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
6 authors.
Funding
Abstract
Machine learning (ML) for classification and prediction based on a set of features is used to make decisions in healthcare, economics, criminal justice and more. However, implementing an ML pipeline including preprocessing, model selection, and evaluation can be time-consuming, confusing, and difficult. Here, we present mikropml (prononced "meek-ROPE em el"), an easy-to-use R package that implements ML pipelines using regression, support vector machines, decision trees, random forest, or gradient-boosted trees. The package is available on GitHub, CRAN, and conda.
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.