ArticleFrontiers in toxicology2022
Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research.
Article in Frontiers in toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 11 citations in OpenAlex.
- Impact of mouse tracheal basal cell expansion medium on formation and metabolic characteristics of tracheospheres.BMC molecular and cell biology · 2025Article
- TAME 2.0: expanding and improving online data science training for environmental health research.Frontiers in toxicology · 2025Article
- A next-generation dynamic programming language Julia: Its features and applications in biological science.Journal of advanced research · 2024Review
- Combined Exposures and Mixtures Research: An Enduring NIEHS Priority.Environmental health perspectives · 2024Article
- Wrangling Whole Mixtures Risk Assessment: Recent Advances in Determining Sufficient Similarity.Current opinion in toxicology · 2023Article
- Navigating the bridge between wet and dry lab toxicology research to address current challenges with high-dimensional data.Frontiers in toxicology · 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
11 authors at 5 institutions in 1 country.
Funding
Abstract
Research in environmental health is becoming increasingly reliant upon data science and computational methods that can more efficiently extract information from complex datasets. Data science and computational methods can be leveraged to better identify relationships between exposures to stressors in the environment and human disease outcomes, representing critical information needed to protect and improve global public health. Still, there remains a critical gap surrounding the training of researchers on these
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.