Prediction of protein-protein interactions using random decision forest framework.
about
Genome-scale screening of drug-target associations relevant to Ki using a chemogenomics approachDOMINE: a comprehensive collection of known and predicted domain-domain interactionsA machine learning approach to predicting protein-ligand binding affinity with applications to molecular dockingHigh-dimensional pharmacogenetic prediction of a continuous trait using machine learning techniques with application to warfarin dose prediction in African AmericansDASMI: exchanging, annotating and assessing molecular interaction dataDeciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction PartnersStructural bioinformatics of the interactome.Survey of Natural Language Processing Techniques in Bioinformatics.Negated bio-events: analysis and identificationPredicting whole genome protein interaction networks from primary sequence data in model and non-model organisms using ENTS.Partner-aware prediction of interacting residues in protein-protein complexes from sequence data.Random Forests for Global and Regional Crop Yield PredictionsThe development of a universal in silico predictor of protein-protein interactions.Co-evolutionary analysis of domains in interacting proteins reveals insights into domain-domain interactions mediating protein-protein interactions.Protein function assignment through mining cross-species protein-protein interactions.Genome-wide inference of protein interaction sites: lessons from the yeast high-quality negative protein-protein interaction dataset.Prediction of glycosylation sites using random forests.Prediction of protein-protein interaction types using association rule based classificationComPhy: prokaryotic composite distance phylogenies inferred from whole-genome gene sets.GAIA: a gram-based interaction analysis tool--an approach for identifying interacting domains in yeast.Assessing reliability of protein-protein interactions by integrative analysis of data in model organisms.DASMIweb: online integration, analysis and assessment of distributed protein interaction dataTriangle network motifs predict complexes by complementing high-error interactomes with structural information.Multi-level learning: improving the prediction of protein, domain and residue interactions by allowing information flow between levels.Phylogeny-guided interaction mapping in seven eukaryotes.Predicting the protein-protein interactions using primary structures with predicted protein surface.Large-scale prediction of protein-protein interactions from structures.Predicting protein-protein interactions in unbalanced data using the primary structure of proteinsInteraction prediction and classification of PDZ domains.Automatic structure classification of small proteins using random forest.Simplified method to predict mutual interactions of human transcription factors based on their primary structure.Predicting residue-residue contacts and helix-helix interactions in transmembrane proteins using an integrative feature-based random forest approachA novel feature extraction scheme with ensemble coding for protein-protein interaction predictionPredicting RNA-protein interactions using only sequence information.Integration strategy is a key step in network-based analysis and dramatically affects network topological properties and inferring outcomes.Heterogeneous data integration by tree-augmented naïve Bayes for protein-protein interactions prediction.Reconstituting protein interaction networks using parameter-dependent domain-domain interactionsProtein inter-domain linker prediction using Random Forest and amino acid physiochemical propertiesppiPre: predicting protein-protein interactions by combining heterogeneous features.Computational prediction of the human-microbial oral interactome.
P2860
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P2860
Prediction of protein-protein interactions using random decision forest framework.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh-hant
name
Prediction of protein-protein interactions using random decision forest framework.
@en
Prediction of protein-protein interactions using random decision forest framework.
@nl
type
label
Prediction of protein-protein interactions using random decision forest framework.
@en
Prediction of protein-protein interactions using random decision forest framework.
@nl
prefLabel
Prediction of protein-protein interactions using random decision forest framework.
@en
Prediction of protein-protein interactions using random decision forest framework.
@nl
P2860
P356
P1433
P1476
Prediction of protein-protein interactions using random decision forest framework.
@en
P2093
P2860
P304
P356
10.1093/BIOINFORMATICS/BTI721
P407
P577
2005-10-18T00:00:00Z