ArticleComputational toxicology (Amsterdam, Netherlands)2018
Novel application of normalized pointwise mutual information (NPMI) to mine biomedical literature for gene sets associated with disease: use case in breast carcinogenesis.
Article in Computational toxicology (Amsterdam, Netherlands), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 14 citations in OpenAlex.
- Decoding Cellular Stress States for Toxicology Using Single-Cell Transcriptomics.bioRxiv : the preprint server for biology · 2025Article
- Article
- Searching for LINCS to Stress: Using Text Mining to Automate Reference Chemical Curation.Chemical research in toxicology · 2024Article
- Environmental mixtures and breast cancer: identifying co-exposure patterns between understudied vs breast cancer-associated chemicals using chemical inventory informatics.Journal of exposure science & environmental epidemiology · 2022Article
- Expert-Augmented Computational Drug Repurposing Identified Baricitinib as a Treatment for COVID-19.Frontiers in pharmacology · 2021Article
- A cross-platform approach to characterize and screen potential neurovascular unit toxicants.Reproductive toxicology (Elmsford, N.Y.) · 2020Article
- Progress in data interoperability to support computational toxicology and chemical safety evaluation.Toxicology and applied pharmacology · 2019Review
- ToxRefDB version 2.0: Improved utility for predictive and retrospective toxicology analyses.Reproductive toxicology (Elmsford, N.Y.) · 2019Article
- BCScreen: A gene panel to test for breast carcinogenesis in chemical safety screening.Computational toxicology (Amsterdam, Netherlands) · 2018Article
- An expert-driven literature review of "negative" chemicals for developmental neurotoxicity (DNT) in vitro assay evaluation.Neurotoxicology and teratologyReview
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 at 5 institutions in 1 country.
Funding
Abstract
Advances in technology within biomedical sciences have led to an inundation of data across many fields, raising new challenges in how best to integrate and analyze these resources. For example, rapid chemical screening programs like the US Environmental Protection Agency's ToxCast and the collaborative effort, Tox21, have produced massive amounts of information on putative chemical mechanisms where assay targets are identified as genes; however, systematically linking these hypothesized mechanisms with
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.