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An expanded evaluation of protein function prediction methods shows an improvement in accuracyA neural network algorithm for semi-supervised node label learning from unbalanced data.Think globally and solve locally: secondary memory-based network learning for automated multi-species function predictionImbalance-Aware Machine Learning for Predicting Rare and Common Disease-Associated Non-Coding VariantsAn extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods.Cancer module genes ranking using kernelized score functionsRegeneration-associated WNT signaling is activated in long-term reconstituting AC133bright acute myeloid leukemia cells.RANKS: a flexible tool for node label ranking and classification in biological networks.A fast ranking algorithm for predicting gene functions in biomolecular networks.Network-based drug ranking and repositioning with respect to DrugBank therapeutic categories.A new strategy to identify novel genes and gene isoforms: Analysis of human chromosomes 15, 21 and 22.A Hierarchical Ensemble Method for DAG-Structured TaxonomiesA high performance grid-web service framework for the identification of ‘conserved sequence tags’Within network learning on big graphs using secondary memory-based random walk kernelsLarge Scale Ranking and Repositioning of Drugs with Respect to DrugBank Therapeutic CategoriesRandom Walking on Functional Interaction Networks to Rank Genes Involved in CancerSynergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inferenceA Novel Ensemble Technique for Protein Subcellular Location PredictionComparing early and late data fusion methods for gene expression predictionIntegration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machinesDetecting conserved coding genomic regions through signal processing of nucleotide substitution patternsEnsemble Based Data Fusion for Gene Function PredictionPrediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources
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P214
P1006
P106
P1153
35305844500
P21
P214
P2456
P31
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IT\ICCU\CFIV\272628
P496
0000-0002-2907-2847
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1974-01-01T00:00:00Z
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lccn-n2011071903