ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2017
A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Literature-Wide Association Studies (LWAS) for a Rare Disease: Drug Repurposing for Inflammatory Breast Cancer.Molecules (Basel, Switzerland) · 2020Pooled it
- Quantifying Evidence for Competing Biomedical Hypotheses using Large Language Models and Bayesian Analysis.bioRxiv : the preprint server for biology · 2026Article
- SKiM-GPT: combining biomedical literature-based discovery with large language model hypothesis evaluation.BMC bioinformatics · 2025Article
- Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models.BMC bioinformatics · 2023Article
- Avoiding background knowledge: literature based discovery from important information.BMC bioinformatics · 2023Article
- Computationally repurposing drugs for breast cancer subtypes using a network-based approach.BMC bioinformatics · 2022Article
- Review
- DrugShot: querying biomedical search terms to retrieve prioritized lists of small molecules.BMC bioinformatics · 2022Article
- Overcoming Drug Resistance in Advanced Prostate Cancer by Drug Repurposing.Medical sciences (Basel, Switzerland) · 2022Review
- Network inference with Granger causality ensembles on single-cell transcriptomics.Cell reports · 2022Article
- Biomedical Literature Mining for Repurposing Laboratory Tests.Methods in molecular biology (Clifton, N.J.) · 2022Review
- Text Mining Protocol to Retrieve Significant Drug-Gene Interactions from PubMed Abstracts.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Safe-in-Man Broad Spectrum Antiviral Agents.Advances in experimental medicine and biology · 2021Article
- Article
- KinderMiner Web: a simple web tool for ranking pairwise associations in biomedical applications.F1000Research · 2020Article
- Exploring the new horizons of drug repurposing: A vital tool for turning hard work into smart work.European journal of medicinal chemistry · 2019Review
- Data-driven phenotype discovery ofScience advances · 2019Article
- Machine Learning Assisted Discovery of Novel Predictive Lab Tests Using Electronic Health Record Data.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019Article
- Review of Drug Repositioning Approaches and Resources.International journal of biological sciences · 2018Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present a simple text mining method that is easy to implement, requires minimal data collection and preparation, and is easy to use for proposing ranked associations between a list of target terms and a key phrase. We call this method KinderMiner, and apply it to two biomedical applications. The first application is to identify relevant transcription factors for cell reprogramming, and the second is to identify potential drugs for investigation in drug repositioning. We compare the results from our algorithm to existing data and state-of-the-art algorithms, demonstrating compelling results for both application areas. While we apply the algorithm here for biomedical applications, we argue that the method is generalizable to any available corpus of sufficient size.
Identifiers
28815126PMC5543342What 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.