ArticleWiley interdisciplinary reviews. Data mining and knowledge discovery2011
The use of classification trees for bioinformatics.
Article in Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 228 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.
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Who cites it
228 citing papers in PubMed.
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- PM2.5/PM10 Forecasting System with Benchmarking of 44 Machine Learning Algorithms and Ensemble Learning Approaches.Sensors (Basel, Switzerland) · 2026Article
- Classification of Factors Affecting Manipulation Tendencies Using Decision Trees.Behavioral sciences (Basel, Switzerland) · 2026Article
- Exploring the Lung-Liver Axis in Pulmonary Arterial Hypertension.Comprehensive Physiology · 2026Article
- Estimation of diameter, mass and volume of Lanzhou lily bulbs based on YOLO instance segmentation.Scientific reports · 2026Article
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- Subgroup analysis methods for time-to-event outcomes in heterogeneous randomized controlled trials.BMC medical research methodology · 2026Article
- Interpretable machine learning based decision-making system for lung adenocarcinoma metastasis: a population-based study with exploration of multi-classification models.BMC medical informatics and decision making · 2026Article
- Decoding environmental regimes and spring phytoplankton bloom occurrence in the central Yellow Sea.Scientific reports · 2026Article
- Study on urban residents' travel mode choice based on the CART-Apriori method.Scientific reports · 2026Article
- A Multimodal Dataset for Assessing Emotion, Stress, and Emotional Workload in Interpersonal Work Scenario.Scientific data · 2026Article
- The Intersectional Influence of Experienced Stigma on Clinically Significant Depressive Symptoms Among Gay, Bisexual, and Other Men Who Have Sex with Men.Journal of homosexuality · 2026Article
- A brain-inspired ISMO-PNN framework for neurally-grounded bearing fault diagnosis.Frontiers in neurorobotics · 2026Article
- A histopathology image-based computer-aided classification study for oral squamous cell carcinoma.Frontiers in oncology · 2026Article
168 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Classification trees are non-parametric statistical learning methods that incorporate feature selection and interactions, possess intuitive interpretability, are efficient, and have high prediction accuracy when used in ensembles. This paper provides a brief introduction to the classification tree-based methods, a review of the recent developments, and a survey of the applications in bioinformatics and statistical genetics.
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.