gene function prediction
Automated gene function prediction through gene multifunctionality in biological networks
... automated prediction of gene function (AFP) is now a challenging ...of gene function prediction still needs to be improved in order to be used effectively in ...of gene ...
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Weighted True Path Rule: a multilabel hierarchical algorithm for gene function prediction
... of gene annota- ...characterizes gene function prediction ...the prediction of gene functions in yeast, using probabilistic SVMs as base learn- ers [11], but the algorithm is ...
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Ligand Similarity Complements Sequence, Physical Interaction, and Co-Expression for Gene Function Prediction
... Characterizing gene function from ligand similarities To systematically assess the complementarity between ligand-based and proteomic networks for gene function prediction, we adapted a ...
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Genomic comparative analysis and gene function prediction in infectious diseases: application to the investigation of a meningitis outbreak
... In this study, an approach based on whole genome se- quencing by NGS technology, comparative genomics, and gene function prediction was set up and applied to investi- gate N. meningitidis isolates, ...
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Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction
... of gene functions, such as the Gene Ontology (GO) and MIPS-FUN, assume that functional classes are organized hierarchically, that is, general functions include more specific ...for gene ...
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Gene Function Prediction from Functional Association Networks Using Kernel Partial Least Squares Regression
... of gene or protein networks. Several methods of predicting gene function from these networks have been ...network-based gene function prediction algorithm using a commute-time ...
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Fuzzy c-means clustering by incorporating biological knowledge and multi-stage filtering to improve gene function prediction
... the gene expression dataset. One of the objectives of gene expression dataset analysis is to group genes according to their expression under a variety of ...of gene function ...example ...
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Fuzzy Mining Approach for Gene Clustering and Gene Function Prediction
... chip, gene chip, or biochip is used to analyze the gene expression ...high-quality gene clusters and identifying the underlying biological mechanism of the gene clusters are the important ...
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A Survey on Data Mining Of Gene Expression Data for Gene Function Prediction
... KEYWORDS: Gene Expression Data, Fuzzy Mining, Data Mining, cancer, Bio informatics ...the gene level can provide sufficient information to predict and diagnose cancer even before it has affected body, ...
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A Genome-Wide Gene Function Prediction Resource for Drosophila melanogaster
... of function predictions, the quality of the predictions is an important ...prioritized prediction results ...our prediction model relative to independent large-scale RNAi results that were not used ...
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Gene function prediction based on genomic context clustering and discriminative learning: an application to bacteriophages
... the prediction performances and it is expected that accuracies are lower with a smaller K ...the gene class to per- form future ...for prediction testing at a time. The prediction accuracies ...
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Prediction of Drosophila melanogaster gene function using Support Vector Machines
... discover gene expression patterns that characterize those ...for gene function prediction benefits from the use of large data sets where many different experimental treatments or conditions ...
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Gene Ontology Function prediction in Mollicutes using Protein-Protein Association Networks
... We have performed this study on seven Mycoplasma species proteomes. One of the main limitations in using protein-protein interactions for function prediction is the availability of interaction data, ...
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Gene finding and gene structure prediction
... • Linear discrimination analysis is used to linearly combine several measures (e.g. signals and coding statistics) in order to perform the best discrimination between coding and non-codi[r] ...
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Progress and challenges in the computational prediction of gene function using networks: 2012-2013 update
... use function prediction tools (loosely ...in function prediction at ...ing function, who feel compelled to develop new methods to do so, and who want their tools to be used by ...
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Combining Homolog and Motif Similarity Data with Gene Ontology Relationships for Protein Function Prediction
... the prediction accuracy, we incorporate term specific relationships based on Gene Ontology ...on Gene Ontology, to accurately infer functional information for unannotated ...of prediction ...
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Multi-target Prediction Methods for Bioinformatics: Approaches for Protein Function Prediction and Candidate Discovery for Gene Regulatory Network Expansion
... developed gene@home, a distributed volunteer research project based on the BOINC platform [Anderson, ...2004b]. gene@home has an average throughput over 10 TFLOPs that allows us to drastically reduce the ...
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Gene Ontology consistent protein function prediction: the FALCON algorithm applied to six eukaryotic genomes
... www.ab.wur.nl/bmrf_yk/FALCON_CAFA.tab.gz. Conclusions Overall, we examined the performance of FALCON for two objective functions, but FALCON is in principle suitable for optimization of a wide range of objective ...
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Gene Ontology consistent protein function prediction: the FALCON algorithm applied to six eukaryotic genomes
... term prediction are developed under a multi-class classification framework, where each GO term denotes a class and for each protein the probability of being member of that class is evaluated by the ...propagate ...
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Prediction of inappropriate myometrial function
... differential gene expression, and for this to be used to screen for new diagnostic/therapeutic targets for a variety of diseases and clinical problems including preterm ...of gene expression in the ...
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