ArticleScientific reports2019
Functional random forest with applications in dose-response predictions.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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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
20 citing papers in PubMed.
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- Behavioral Decoding Reveals Cortical Endocannabinoid Potentiation during ΔbioRxiv : the preprint server for biology · 2025Article
- Improved Machine Learning Predictions of EC50s Using Uncertainty Estimation from Dose-Response Data.Journal of chemical information and modeling · 2025Article
- Artificial intelligence in automatic image segmentation system for exploring recurrence patterns in small cell carcinoma of the lung.Frontiers in oncology · 2025Article
- Multi-output prediction of dose-response curves enables drug repositioning and biomarker discovery.NPJ precision oncology · 2024Article
- Insights into Therapeutic Response Prediction for Ustekinumab in Ulcerative Colitis Using an Ensemble Bioinformatics Approach.International journal of molecular sciences · 2024Observational
- An Effective Approach to Improve the Automatic Segmentation and Classification Accuracy of Brain Metastasis by Combining Multi-phase Delay Enhanced MR Images.Journal of digital imaging · 2023Article
- Recent Advances in Machine-Learning-Based Chemoinformatics: A Comprehensive Review.International journal of molecular sciences · 2023Review
- Forecasting coal power plant retirement ages and lock-in with random forest regression.Patterns (New York, N.Y.) · 2023Article
- Source discrimination of mine water based on the random forest method.Scientific reports · 2022Article
- Deep learning prediction of chemical-induced dose-dependent and context-specific multiplex phenotype responses and its application to personalized alzheimer's disease drug repurposing.PLoS computational biology · 2022Article
- Network approaches for modeling the effect of drugs and diseases.Briefings in bioinformatics · 2022Review
- A cross-study analysis of drug response prediction in cancer cell lines.Briefings in bioinformatics · 2022Article
- Entropy-based discrimination between translated Chinese and original Chinese using data mining techniques.PloS one · 2022Article
- Mathematical optimization in classification and regression trees.Top (Berlin, Germany) · 2021Article
- Machine Learning Methods in Drug Discovery.Molecules (Basel, Switzerland) · 2020Review
- A fully integrated machine learning scan of selection in the chimpanzee genome.NAR genomics and bioinformatics · 2020Article
- Recursive model for dose-time responses in pharmacological studies.BMC bioinformatics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Drug sensitivity prediction for individual tumors is a significant challenge in personalized medicine. Current modeling approaches consider prediction of a single metric of the drug response curve such as AUC or IC
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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.