A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval.
about
On multilabel classification methods of incompletely labeled biomedical text dataMachine-learning scoring functions to improve structure-based binding affinity prediction and virtual screeningComputational Design of the Affinity and Specificity of a Therapeutic T Cell ReceptorGR-Align: fast and flexible alignment of protein 3D structures using graphlet degree similarity.Fusing dual-event data sets for Mycobacterium tuberculosis machine learning models and their evaluation.Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes.Pharmacophore alignment search tool: influence of scoring systems on text-based similarity searching.Pharmacophore alignment search tool: influence of the third dimension on text-based similarity searching.Shape-based virtual screening with volumetric aligned molecular shapesROCS: receiver operating characteristic surface for class-skewed high-throughput data.Using cheminformatics to predict cross reactivity of "designer drugs" to their currently available immunoassays.The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets.Pathway-Dependent Effectiveness of Network Algorithms for Gene Prioritization.Pharmacophore Alignment Search Tool (PhAST): Significance Assessment of Chemical Similarity.All-atom/coarse-grained hybrid predictions of distribution coefficients in SAMPL5.Condorcet and borda count fusion method for ligand-based virtual screeningA simple model predicts UGT-mediated metabolism.A rotation-translation invariant molecular descriptor of partial charges and its use in ligand-based virtual screening.Modeling Epoxidation of Drug-like Molecules with a Deep Machine Learning Network.In silico, in vitro and cellular analysis with a kinome-wide inhibitor panel correlates cellular LRRK2 dephosphorylation to inhibitor activity on LRRK2.Solvation free energies and partition coefficients with the coarse-grained and hybrid all-atom/coarse-grained MARTINI models.Deep Learning to Predict the Formation of Quinone Species in Drug Metabolism.Computational Approach to Structural Alerts: Furans, Phenols, Nitroaromatics, and Thiophenes.Classifiers and their Metrics Quantified.Computationally Assessing the Bioactivation of Drugs by N-Dealkylation.Mapping the 3D structures of small molecule binding sites.Caveats and pitfalls of ROC analysis in clinical microarray research (and how to avoid them)
P2860
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P2860
A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval.
description
2010 nî lūn-bûn
@nan
2010 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval.
@ast
A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval.
@en
A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval.
@nl
type
label
A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval.
@ast
A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval.
@en
A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval.
@nl
prefLabel
A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval.
@ast
A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval.
@en
A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval.
@nl
P2860
P50
P356
P1433
P1476
A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval
@en
P2093
Pierre Baldi
P2860
P304
P356
10.1093/BIOINFORMATICS/BTQ140
P407
P577
2010-04-07T00:00:00Z