StAR: a simple tool for the statistical comparison of ROC curves. - sprookjes - yvandenbroek - TriplyDB

StAR: a simple tool for the statistical comparison of ROC curves.

StAR: a simple tool for the statistical comparison of ROC curves.

http://www.wikidata.org/entity/Q33340843

about

On the association of common and rare genetic variation influencing body mass index: a combined SNP and CNV analysis HIV-1 phenotypic reverse transcriptase inhibitor drug resistance test interpretation is not dependent on the subtype of the virus backbone L1pred: a sequence-based prediction tool for catalytic residues in enzymes with the L1-logreg classifier Systematic detection of internal symmetry in proteins using CE-Symm Effective knowledge-based potentials Splitting statistical potentials into meaningful scoring functions: testing the prediction of near-native structures from decoy conformations.Efficient and automated large-scale detection of structural relationships in proteins with a flexible aligner Fast and accurate protein substructure searching with simulated annealing and GPUs Two classifiers based on serum peptide pattern for prediction of HBV-induced liver cirrhosis using MALDI-TOF MS.Predicting primary progressive aphasias with support vector machine approaches in structural MRI data.Identification of novel DNA repair proteins via primary sequence, secondary structure, and homology.Accurate discrimination of conserved coding and non-coding regions through multiple indicators of evolutionary dynamics Towards the prediction of essential genes by integration of network topology, cellular localization and biological process information.Tailoring vocabularies for NLP in sub-domains: a method to detect unused word sense Structure-based virtual screening of glycogen synthase kinase 3β inhibitors: analysis of scoring functions applied to large true actives and decoy sets.Improving the prediction of protein binding sites by combining heterogeneous data and Voronoi diagrams.Biomine: predicting links between biological entities using network models of heterogeneous databases.Prediction of long-term segmental and global functional recovery of hibernating myocardium after revascularisation based on low dose dobutamine and late gadolinium enhancement cardiovascular magnetic resonance.Baseline tumor oxygen saturation correlates with a pathologic complete response in breast cancer patients undergoing neoadjuvant chemotherapy.A new clinical multivariable model that predicts postoperative acute kidney injury: impact of endogenous ouabain SVMTriP: a method to predict antigenic epitopes using support vector machine to integrate tri-peptide similarity and propensity.MicroRNA expression profiles of whole blood in lung adenocarcinoma Effectiveness of FISK, an invasiveness screening tool for non-native freshwater fishes, to perform risk identification assessments in the Iberian Peninsula.Receiver operating characteristic (ROC) analysis of day 5 morphology grading and metabolomic Viability Score on predicting implantation outcome.Leukemia prediction using sparse logistic regression.Serum peptide pattern that differentially diagnoses hepatitis B virus-related hepatocellular carcinoma from liver cirrhosis.Serum HE4 detects recurrent endometrial cancer in patients undergoing routine clinical surveillance.Frequency doubling technique perimetry and spectral domain optical coherence tomography in patients with early glaucoma Value of scar imaging and inotropic reserve combination for the prediction of segmental and global left ventricular functional recovery after revascularisation.A multigene array for measurable residual disease detection in AML patients undergoing SCT Differential methylation of the promoter and first exon of the RASSF1A gene in hepatocarcinogenesis.Genome-wide prediction of prokaryotic two-component system networks using a sequence-based meta-predictor.Prediction of Spontaneous Protein Deamidation from Sequence-Derived Secondary Structure and Intrinsic Disorder.Cortical hand bone porosity and its association with distal radius fracture in middle aged and elderly women Urinary neutrophil gelatinase-associated lipocalin time course during cardiac surgery.A chronic neural interface to the macaque dorsal column nuclei Preoperative endogenous ouabain predicts acute kidney injury in cardiac surgery patients Automated MRI-based classification of primary progressive aphasia variants.Single-unit stability using chronically implanted multielectrode arrays An MLP classifier for prediction of HBV-induced liver cirrhosis using routinely available clinical parameters.

P2860

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P2860

StAR: a simple tool for the statistical comparison of ROC curves.

http://www.wikidata.org/entity/Q33340843

description

2008 nî lūn-bûn

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2008 թուականի Յունիսին հրատարակուած գիտական յօդուած

@hyw

2008 թվականի հունիսին հրատարակված գիտական հոդված

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2008年の論文

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2008年論文

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2008年論文

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2008年論文

@zh-hk

2008年論文

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2008年論文

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2008年论文

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name

StAR: a simple tool for the statistical comparison of ROC curves.

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StAR: a simple tool for the statistical comparison of ROC curves.

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type

label

StAR: a simple tool for the statistical comparison of ROC curves.

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StAR: a simple tool for the statistical comparison of ROC curves.

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prefLabel

StAR: a simple tool for the statistical comparison of ROC curves.

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StAR: a simple tool for the statistical comparison of ROC curves.

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BMC Bioinformatics

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StAR: a simple tool for the statistical comparison of ROC curves.

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Alex W Slater

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Evandro Ferrada

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Ismael A Vergara

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P2860

Gene ontology: tool for the unification of biology

Protein superfamilies and domain superfolds

Comparison of Eight Computer Programs for Receiver-Operating Characteristic Analysis

Measuring the accuracy of diagnostic systems

Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach

Nonbonded terms extrapolated from nonlocal knowledge-based energy functions improve error detection in near-native protein structure models.

Fold assessment for comparative protein structure modeling.

A knowledge-based potential with an accurate description of local interactions improves discrimination between native and near-native protein conformations.

Receiver operator characteristic (ROC) curves and non-normal data: an empirical study.

A comparison of the Dorfman-Berbaum-Metz and Obuchowski-Rockette methods for receiver operating characteristic (ROC) data.

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1471-2105-9-265

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265

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scholarly article

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10.1186/1471-2105-9-265

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9

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Tomas Norambuena

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2008-06-05T00:00:00Z

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5323626

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