Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often reached through inconsistent use or insufficient statistical analysis. To support researchers in their ROC curves analysis we developed pROC, a package for R and S+ that contains a set of tools displaying, analyzing, smoothing and comparing ROC curves in a user-friendly, object-oriented and flexible interface. With data previously imported into the R or S+ environment, the pROC package builds ROC curves and includes functions for computing confidence intervals, statistical tests for comparing total or partial area under the curve or the operating points of different classifiers, and methods for smoothing ROC curves. Intermediary and final results are visualised in user-friendly interfaces. A case study based on published clinical and biomarker data shows how to perform a typical ROC analysis with pROC. pROC is a package for R and S+ specifically dedicated to ROC analysis. It proposes multiple statistical tests to compare ROC curves, and in particular partial areas under the curve, allowing proper ROC interpretation. pROC is available in two versions: in the R progr...Continue Reading
A method of comparing the areas under receiver operating characteristic curves derived from the same cases
Smooth non-parametric receiver operating characteristic (ROC) curves for continuous diagnostic tests
Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data
A permutation test for comparing ROC curves in multireader studies a multi-reader ROC, permutation test
The Relative Operating Characteristic in Psychology: A technique for isolating effects of response bias finds wide use in the study of perception and cognition
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Bioinformatics for protein biomarker panel classification: what is needed to bring biomarker panels into in vitro diagnostics?
Case-control study of respiratory dynamic compliance in mechanically ventilated near-term newborns in a pre-hospital setting
Diagnostic utility and correlation of tumor markers in the serum and cerebrospinal fluid of children with intracranial germ cell tumors
CSF α-synuclein improves diagnostic and prognostic performance of CSF tau and Aβ in Alzheimer's disease
The effects of fluid balance and colloid administration on outcomes in patients with aneurysmal subarachnoid hemorrhage: a propensity score-matched analysis
Impact of the clinical syntax score on 5-year clinical outcomes after sirolimus-eluting stents implantation
Enhancement patterns in the fibro cellular tissue in different kinds of plaques of the internal carotid artery
Antibody repertoire profiling using bacterial display identifies reactivity signatures of celiac disease
Noninvasive detection of cancer-associated genome-wide hypomethylation and copy number aberrations by plasma DNA bisulfite sequencing
Levels of soluble apolipoprotein E/amyloid-β (Aβ) complex are reduced and oligomeric Aβ increased with APOE4 and Alzheimer disease in a transgenic mouse model and human samples.
Human protein-protein interaction prediction by a novel sequence-based co-evolution method: co-evolutionary divergence
Bioclipse-R: integrating management and visualization of life science data with statistical analysis
The ground glass opacity component can be eliminated from the T-factor assessment of lung adenocarcinoma
Response of cardiac endocrine function to surgery stress is age dependent in neonates and children with congenital heart defects: consequences in diagnostic and prognostic accuracy of brain natriuretic peptide measurement
A miRNA-regulatory network explains how dysregulated miRNAs perturb oncogenic processes across diverse cancers.
Accuracy of optical spectroscopy for the detection of cervical intraepithelial neoplasia without colposcopic tissue information; a step toward automation for low resource settings
The Addenbrooke's Cognitive Examination for the differential diagnosis and longitudinal assessment of patients with parkinsonian disorders
A novel substitution matrix fitted to the compositional bias in Mollicutes improves the prediction of homologous relationships
ProDis-ContSHC: learning protein dissimilarity measures and hierarchical context coherently for protein-protein comparison in protein database retrieval
Validation of four candidate pancreatic cancer serological biomarkers that improve the performance of CA19.9
Assessing the effects of variables and background selection on the capture of the tick climate niche
Risk map and spatial determinants of pancreas disease in the marine phase of Norwegian Atlantic salmon farming sites
Modelling the risk of being bitten by malaria vectors in a vector control area in southern Benin, west Africa
Matrix metalloproteinase 9 and cellular fibronectin plasma concentrations are predictors of the composite endpoint of length of stay and death in the intensive care unit after severe traumatic brain injury
Bioinformatics in Biomedicine
Bioinformatics in biomedicine incorporates computer science, biology, chemistry, medicine, mathematics and statistics. Discover the latest research on bioinformatics in biomedicine here.