Evaluation of different biological data and computational classification methods for use in protein interaction prediction.
about
Prediction of Protein-Protein Interactions by Evidence Combining MethodsSimultaneous genome-wide inference of physical, genetic, regulatory, and functional pathway componentsPrediction and analysis of the protein interactome in Pseudomonas aeruginosa to enable network-based drug target selectionRANKING RELATIONS USING ANALOGIES IN BIOLOGICAL AND INFORMATION NETWORKSDeciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction PartnersSurvey of Natural Language Processing Techniques in Bioinformatics.Active learning for human protein-protein interaction predictionAn introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests.A comprehensive study on different modelling approaches to predict platelet deposition rates in a perfusion chamber.Combining techniques for screening and evaluating interaction terms on high-dimensional time-to-event data.A novel one-class SVM based negative data sampling method for reconstructing proteome-wide HTLV-human protein interaction networks.Spotlite: web application and augmented algorithms for predicting co-complexed proteins from affinity purification--mass spectrometry data.CloudForest: A Scalable and Efficient Random Forest Implementation for Biological Data.A forest-based feature screening approach for large-scale genome data with complex structures.Posttraumatic stress disorder: diagnostic data analysis by data mining methodologyPredicting co-complexed protein pairs from heterogeneous data.A direct comparison of protein interaction confidence assignment schemesIntNetDB v1.0: an integrated protein-protein interaction network database generated by a probabilistic model.Bias in random forest variable importance measures: illustrations, sources and a solution.Probabilistic prediction and ranking of human protein-protein interactions.InPrePPI: an integrated evaluation method based on genomic context for predicting protein-protein interactions in prokaryotic genomes.A mixture of feature experts approach for protein-protein interaction predictionA new pairwise kernel for biological network inference with support vector machines.High-precision high-coverage functional inference from integrated data sourcesConditional variable importance for random forests.Origin of co-expression patterns in E. coli and S. cerevisiae emerging from reverse engineering algorithmsThe use of Gene Ontology terms for predicting highly-connected 'hub' nodes in protein-protein interaction networks.Prediction of glycosylation sites using random forests.Global networks of functional coupling in eukaryotes from comprehensive data integration.Triangle network motifs predict complexes by complementing high-error interactomes with structural information.Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy.Prediction of human functional genetic networks from heterogeneous data using RVM-based ensemble learningPredicting highly-connected hubs in protein interaction networks by QSAR and biological data descriptors.Large-scale prediction of protein-protein interactions from structures.Inference of functional relations in predicted protein networks with a machine learning approach.A human functional protein interaction network and its application to cancer data analysisA boosting method for maximizing the partial area under the ROC curve.Interaction prediction and classification of PDZ domains.Across-proteome modeling of dimer structures for the bottom-up assembly of protein-protein interaction networks.Features analysis for identification of date and party hubs in protein interaction network of Saccharomyces Cerevisiae.
P2860
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P2860
Evaluation of different biological data and computational classification methods for use in protein interaction prediction.
description
2006 nî lūn-bûn
@nan
2006 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Evaluation of different biolog ...... rotein interaction prediction.
@ast
Evaluation of different biolog ...... rotein interaction prediction.
@en
type
label
Evaluation of different biolog ...... rotein interaction prediction.
@ast
Evaluation of different biolog ...... rotein interaction prediction.
@en
prefLabel
Evaluation of different biolog ...... rotein interaction prediction.
@ast
Evaluation of different biolog ...... rotein interaction prediction.
@en
P2860
P356
P1433
P1476
Evaluation of different biolog ...... rotein interaction prediction.
@en
P2093
P2860
P304
P356
10.1002/PROT.20865
P407
P577
2006-05-01T00:00:00Z