| scholarly article | Q13442814 |
| P50 | author | Giorgio Valentini | Q50697083 |
| P2860 | cites work | A comparison of decision tree ensemble creation techniques | Q51928677 |
| Clustering ensembles: models of consensus and weak partitions | Q51958158 | ||
| Overview of the yeast genome. | Q53359682 | ||
| Classifying web documents in a hierarchy of categories: a comprehensive study | Q57568687 | ||
| A survey of hierarchical classification across different application domains | Q57597648 | ||
| A Hierarchical Classification Ant Colony Algorithm for Predicting Gene Ontology Terms | Q57597653 | ||
| Hierarchical Multilabel Protein Function Prediction Using Local Neural Networks | Q57739671 | ||
| A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches | Q57865135 | ||
| Decision trees for hierarchical multi-label classification | Q58012271 | ||
| Exploiting Label Dependency for Hierarchical Multi-label Classification | Q58312576 | ||
| A Cost-Sensitive Ensemble Method for Class-Imbalanced Datasets | Q58915508 | ||
| Guilt-by-association goes global | Q59048545 | ||
| Large Scale Ranking and Repositioning of Drugs with Respect to DrugBank Therapeutic Categories | Q59290282 | ||
| Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference | Q59290307 | ||
| A Novel Ensemble Technique for Protein Subcellular Location Prediction | Q59290317 | ||
| Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines | Q59290345 | ||
| Ensemble Based Data Fusion for Gene Function Prediction | Q59290373 | ||
| An integrated probabilistic model for functional prediction of proteins | Q80400967 | ||
| Gene function classification using Bayesian models with hierarchy-based priors | Q21284251 | ||
| Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests | Q22673963 | ||
| Induction of Decision Trees | Q22680706 | ||
| Gene ontology: tool for the unification of biology | Q23781406 | ||
| BioGRID: a general repository for interaction datasets | Q24538650 | ||
| Gapped BLAST and PSI-BLAST: a new generation of protein database search programs | Q24545170 | ||
| A large-scale evaluation of computational protein function prediction | Q24614831 | ||
| GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function | Q24646439 | ||
| The Pfam protein families database | Q24650035 | ||
| Network-based prediction of protein function | Q24670295 | ||
| The FunCat, a functional annotation scheme for systematic classification of proteins from whole genomes | Q24701143 | ||
| Basic local alignment search tool | Q25938991 | ||
| A critical assessment of Mus musculus gene function prediction using integrated genomic evidence | Q27499387 | ||
| Genomic expression programs in the response of yeast cells to environmental changes | Q27860823 | ||
| On combining classifiers | Q29037617 | ||
| Protein function annotation by homology-based inference | Q29048177 | ||
| Comparative assessment of large-scale data sets of protein-protein interactions | Q29547451 | ||
| Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research | Q29547461 | ||
| A combined algorithm for genome-wide prediction of protein function | Q29615998 | ||
| Saccharomyces Genome Database (SGD) provides tools to identify and analyze sequences from Saccharomyces cerevisiae and related sequences from other organisms | Q29619138 | ||
| Sequence-based feature prediction and annotation of proteins | Q30002311 | ||
| Prediction of human protein function according to Gene Ontology categories | Q30002360 | ||
| A neural network algorithm for semi-supervised node label learning from unbalanced data | Q30600354 | ||
| Protein function prediction by massive integration of evolutionary analyses and multiple data sources | Q30604353 | ||
| Combining heterogeneous data sources for accurate functional annotation of proteins. | Q30604355 | ||
| Protein Function Prediction with Incomplete Annotations | Q50666718 | ||
| Network-based drug ranking and repositioning with respect to DrugBank therapeutic categories | Q50697014 | ||
| Fast protein classification with multiple networks | Q50739922 | ||
| MS-k NN: protein function prediction by integrating multiple data sources | Q30604442 | ||
| Learning gene functional classifications from multiple data types | Q30693068 | ||
| Boosting for tumor classification with gene expression data | Q30802288 | ||
| A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae). | Q30806988 | ||
| Kernel-based data fusion and its application to protein function prediction in yeast. | Q30909344 | ||
| A statistical framework for genomic data fusion | Q30929198 | ||
| Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure | Q31060397 | ||
| Mosclust: a software library for discovering significant structures in bio-molecular data | Q31080458 | ||
| Context-sensitive data integration and prediction of biological networks | Q31117193 | ||
| An efficient strategy for extensive integration of diverse biological data for protein function prediction | Q31138290 | ||
| Discovering multi-level structures in bio-molecular data through the Bernstein inequality | Q31151436 | ||
| Inferring mouse gene functions from genomic-scale data using a combined functional network/classification strategy | Q31162096 | ||
| Bayesian network multi-classifiers for protein secondary structure prediction | Q33204238 | ||
| Choosing negative examples for the prediction of protein-protein interactions | Q33244579 | ||
| Genome wide prediction of protein function via a generic knowledge discovery approach based on evidence integration. | Q33244710 | ||
| Integrating sequence and structural biology with DAS | Q33298674 | ||
| Integration of relational and hierarchical network information for protein function prediction | Q33362581 | ||
| Towards structured output prediction of enzyme function | Q33393989 | ||
| Incorporating functional inter-relationships into protein function prediction algorithms | Q33444314 | ||
| XML-based approaches for the integration of heterogeneous bio-molecular data | Q33510481 | ||
| Predicting gene function using hierarchical multi-label decision tree ensembles | Q33521571 | ||
| Bayesian Markov Random Field analysis for protein function prediction based on network data | Q33535782 | ||
| Noise tolerance of multiple classifier systems in data integration-based gene function prediction | Q33550698 | ||
| Fast integration of heterogeneous data sources for predicting gene function with limited annotation | Q33589645 | ||
| MIPS: a database for genomes and protein sequences | Q33612236 | ||
| Rational association of genes with traits using a genome-scale gene network for Arabidopsis thaliana | Q33801141 | ||
| Information theory applied to the sparse gene ontology annotation network to predict novel gene function | Q33901758 | ||
| Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms. | Q34247968 | ||
| Quality of computationally inferred gene ontology annotations | Q34302143 | ||
| Functional annotation from predicted protein interaction networks | Q34421828 | ||
| Cancer module genes ranking using kernelized score functions | Q34456928 | ||
| Homology-based inference sets the bar high for protein function prediction | Q34628670 | ||
| Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction | Q35000170 | ||
| Automatic annotation of protein function | Q36142877 | ||
| A categorization approach to automated ontological function annotation | Q36458440 | ||
| Gene Ontology annotations and resources | Q36491209 | ||
| Automated protein function prediction--the genomic challenge | Q36505962 | ||
| Combining guilt-by-association and guilt-by-profiling to predict Saccharomyces cerevisiae gene function | Q36748881 | ||
| Parametric Bayesian priors and better choice of negative examples improve protein function prediction | Q36789551 | ||
| Whole-genome annotation by using evidence integration in functional-linkage networks | Q36852724 | ||
| Functions of the gene products of Escherichia coli. | Q37059813 | ||
| Ontology quality assurance through analysis of term transformations | Q37206313 | ||
| The impact of incomplete knowledge on evaluation: an experimental benchmark for protein function prediction | Q37327730 | ||
| On the importance of comprehensible classification models for protein function prediction | Q37691162 | ||
| Predicting novel human gene ontology annotations using semantic analysis | Q38375823 | ||
| A new method to measure the semantic similarity of GO terms | Q38398724 | ||
| Improving GO semantic similarity measures by exploring the ontology beneath the terms and modelling uncertainty | Q38472907 | ||
| Gene Ontology consistent protein function prediction: the FALCON algorithm applied to six eukaryotic genomes | Q38491303 | ||
| True path rule hierarchical ensembles for genome-wide gene function prediction | Q38506394 | ||
| Hierarchical classification of gene ontology terms using the GOstruct method | Q38506708 | ||
| Consistent probabilistic outputs for protein function prediction | Q38513057 | ||
| Predicting gene function in a hierarchical context with an ensemble of classifiers | Q38513065 | ||
| HCGene: a software tool to support the hierarchical classification of genes | Q38514564 | ||
| Hierarchical multi-label prediction of gene function | Q38519155 | ||
| Broadly predicting specific gene functions with expression similarity and taxonomy similarity | Q38520311 | ||
| Predicting gene ontology biological process from temporal gene expression patterns. | Q38522841 | ||
| Predicting gene function in Saccharomyces cerevisiae | Q42610492 | ||
| The utility of different representations of protein sequence for predicting functional class | Q42648658 | ||
| Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps | Q42659943 | ||
| The advantage of functional prediction based on clustering of yeast genes and its correlation with non-sequence based classifications | Q42676435 | ||
| A fast ranking algorithm for predicting gene functions in biomolecular networks | Q43835790 | ||
| A framework for incorporating functional interrelationships into protein function prediction algorithms | Q44037680 | ||
| Molecular function prediction using neighborhood features | Q46130354 | ||
| Global protein function prediction from protein-protein interaction networks | Q47921995 | ||
| Robust biomarker identification for cancer diagnosis with ensemble feature selection methods | Q48244876 | ||
| P275 | copyright license | Creative Commons Attribution 3.0 Unported | Q14947546 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P921 | main subject | protein function prediction | Q7251473 |
| P304 | page(s) | 901419 | |
| P577 | publication date | 2014-05-04 | |
| P13046 | publication type of scholarly work | review article | Q7318358 |
| P1433 | published in | ISRN bioinformatics | Q27726183 |
| P1476 | title | Hierarchical ensemble methods for protein function prediction | |
| P478 | volume | 2014 |
| Q94545593 | A Literature Review of Gene Function Prediction by Modeling Gene Ontology |
| Q92742192 | FunPred 3.0: improved protein function prediction using protein interaction network |
| Q30620640 | Integrating multiple networks for protein function prediction |
| Q38445872 | NegGOA: negative GO annotations selection using ontology structure |
| Q38967003 | Predicting protein function and other biomedical characteristics with heterogeneous ensembles |
| Q35756659 | Predicting protein function via downward random walks on a gene ontology |
| Q35543419 | Predicting protein functions using incomplete hierarchical labels |
| Q56976002 | Prediction of Human Gene - Phenotype Associations by Exploiting the Hierarchical Structure of the Human Phenotype Ontology |
| Q42376683 | Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods |
Search more.