ArticlePloS one2010
Nearest template prediction: a single-sample-based flexible class prediction with confidence assessment.
Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 229 papers, 1 of them a synthesis that pooled it.
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Who cites it
229 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Multi-layer molecular profiling defines an immune-active colorectal cancer subtype with therapeutic relevance.Molecular therapy. Nucleic acids · 2026Article
- ALG1-mediated PDL1 glycosylation drives macrophage m2 polarization to promote bladder cancer progression.Cell death and differentiation · 2026Article
- Characterization of telomere-related gene subtypes in lung adenocarcinoma and their implications for prognosis and treatment.Discover oncology · 2026Article
- Recapitulating patient-to-patient colorectal cancer tumor heterogeneity using patient-derived xenograft cells in an engineered tissue model.Acta biomaterialia · 2026Article
- Robust transcriptomic hallmarks targeting intratumor heterogeneity in intrahepatic cholangiocarcinoma.Cell reports. Medicine · 2026Article
- A gene interaction network-based molecular taxonomy of dilated cardiomyopathy highlighting immune and inflammatory heterogeneity.Clinical and experimental medicine · 2026Article
- A liver gene signature links liver cancer risk in chronic viral hepatitis to intrahepatic IgA plasma cells.JHEP reports : innovation in hepatology · 2026Article
- Correspondence to letter to the editor on "Molecular classification of hepatocellular carcinoma based on zoned metabolic feature and oncogenic signaling pathway".Clinical and molecular hepatology · 2026Article
- Molecular taxonomy of pancreatic neuroendocrine tumors reveals BEND2-fusions-driven transcriptional plasticity and therapeutic vulnerabilities.Cell reports. Medicine · 2026Article
- CBX3:IL1RN Reflects Distinct Cellular States That Defines the Clinical Outcome of Oral Squamous Cell Carcinoma.Cancer medicine · 2026Article
- A new and more informative subtyping scheme for breast cancer based on co-expression of metabolic genes.Genes & diseases · 2026Article
- A proteogenomic atlas of 1032 brain metastases identifies molecular subtypes, immune landscapes, and therapeutic vulnerabilities.Nature communications · 2026Article
- Identification of Immune&Driver Molecular Subtypes Optimizes Immunotherapy Strategies for Gastric Cancer.International journal of molecular sciences · 2026Article
- Article
- Recapitulating Patient-to-Patient Colorectal Cancer Tumor Heterogeneity Using Patient-Derived Xenograft Cells in an Engineered Tissue Model.bioRxiv : the preprint server for biology · 2025Article
169 more citing papers are in PubMed but not listed here.
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Authors and funding
1 author.
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Abstract
Gene-expression signature-based disease classification and clinical outcome prediction has not been widely introduced in clinical medicine as initially expected, mainly due to the lack of extensive validation needed for its clinical deployment. Obstacles include variable measurement in microarray assay, inconsistent assay platform, analytical requirement for comparable pair of training and test datasets, etc. Furthermore, as medical device helping clinical decision making, the prediction needs to be made for each single patient with a measure of its reliability. To address these issues, there is a need for flexible prediction method less sensitive to difference in experimental and analytical conditions, applicable to each single patient, and providing measure of prediction confidence. The nearest template prediction (NTP) method provides a convenient way to make class prediction with assessment of prediction confidence computed in each single patient's gene-expression data using only a list of signature genes and a test dataset. We demonstrate that the method can be flexibly applied to cross-platform, cross-species, and multiclass predictions without any optimization of analysis parameters.
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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.