Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

AUCTSP: an improved biomarker gene pair class predictor

26 Jun 2018

Abstract excerpt

BACKGROUND: The Top Scoring Pair (TSP) classifier, based on the concept of relative ranking reversals in the expressions of pairs of genes, has been proposed as a simple, accurate, and easily interpretable decision rule for classification and class prediction of gene expression profiles. The idea that differences in gene expression ranking are associated with presence or absence of disease is compelling and has...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Bioinformatics and Genomic Networks
Share to Ferroptosis and cancer prognosis
Share to Gene expression and cancer classification

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 29940833
DOI: 10.1186/s12859-018-2231-1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

AUCTSP: an improved biomarker gene pair class predictorPMID 29940833Read ↗

Avoiding test set bias with rank-based predictionSemantic proximity Read ↗

Identification of Monotonically Classifying Pairs of Genes for Ordinal Disease OutcomesSemantic proximity Read ↗

A Population Proportion approach for ranking differentially expressed genes.Semantic proximity Read ↗

DCARS: Differential correlation across ranked samplesSemantic proximity Read ↗

Modified logistic regression models using gene coexpression and clinical features to predict prostate cancer progression.Semantic proximity Read ↗

StAR: a simple tool for the statistical comparison of ROC curvesSemantic proximity Read ↗

Visualising the Truth: A Composite Evaluation Framework for Score-Based Predictive Models SelectionSemantic proximity Read ↗

Classification between normal and tumor tissues based on the pair-wise gene expression ratio.Semantic proximity Read ↗

RankGene: identification of diagnostic genes based on expression data.Semantic proximity Read ↗

HyDRA: gene prioritization via hybrid distance-score rank aggregation.Semantic proximity Read ↗

Sensitivity analysis of gene ranking methods in phenotype prediction.Semantic proximity Read ↗

Transfer Learning for Survival-based Clustering of Predictors with an Application to <i>TP53</i> Mutation AnnotationSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.