Simple sequence-based kernels do not predict protein-protein interactions.
about
Prediction of Protein-Protein Interactions by Evidence Combining MethodsImplementation and comparison of kernel-based learning methods to predict metabolic networksNegatome 2.0: a database of non-interacting proteins derived by literature mining, manual annotation and protein structure analysisSequence-based prediction of protein protein interaction using a deep-learning algorithm.Computational approaches for prediction of pathogen-host protein-protein interactions.Survey of Natural Language Processing Techniques in Bioinformatics.A novel one-class SVM based negative data sampling method for reconstructing proteome-wide HTLV-human protein interaction networks.Metabolic network prediction through pairwise rational kernels.Computational prediction of virus-human protein-protein interactions using embedding kernelized heterogeneous data.The development of a universal in silico predictor of protein-protein interactions.Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier.Rigorous assessment and integration of the sequence and structure based features to predict hot spots.Computational reconstruction of proteome-wide protein interaction networks between HTLV retroviruses and Homo sapiens.Improving accuracy of protein-protein interaction prediction by considering the converse problem for sequence representationPredicting the fission yeast protein interaction network.AdaBoost based multi-instance transfer learning for predicting proteome-wide interactions between Salmonella and human proteinsInteractome-wide prediction of protein-protein binding sites reveals effects of protein sequence variation in Arabidopsis thaliana.Homology-based prediction of interactions between proteins using Averaged One-Dependence Estimators.Probability weighted ensemble transfer learning for predicting interactions between HIV-1 and human proteins.In silico characterization and prediction of global protein-mRNA interactions in yeastRevisiting the negative example sampling problem for predicting protein-protein interactions.The autophagy interaction network of the aging model Podospora anserinaNon-interacting proteins may resemble interacting proteins: prevalence and implications.Recent advances in protein-protein interaction prediction: experimental and computational methods.Review and comparative assessment of sequence-based predictors of protein-binding residues.A computational framework for distinguishing direct versus indirect interactions in human functional protein-protein interaction networks.Rigid-Docking Approaches to Explore Protein-Protein Interaction Space.Path2PPI: an R package to predict protein-protein interaction networks for a set of proteins.Predicting protein-protein interactions between human and hepatitis C virus via an ensemble learning method.Computational Prediction of Protein-Protein Interaction Networks: Algo-rithms and Resources.Can simple codon pair usage predict protein-protein interaction?iDTI-ESBoost: Identification of Drug Target Interaction Using Evolutionary and Structural Features with Boosting.Prediction of chemical-protein interactions: multitarget-QSAR versus computational chemogenomic methods.Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology
P2860
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P2860
Simple sequence-based kernels do not predict protein-protein interactions.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh-hant
name
Simple sequence-based kernels do not predict protein-protein interactions.
@en
Simple sequence-based kernels do not predict protein-protein interactions.
@en-gb
Simple sequence-based kernels do not predict protein-protein interactions.
@nl
type
label
Simple sequence-based kernels do not predict protein-protein interactions.
@en
Simple sequence-based kernels do not predict protein-protein interactions.
@en-gb
Simple sequence-based kernels do not predict protein-protein interactions.
@nl
prefLabel
Simple sequence-based kernels do not predict protein-protein interactions.
@en
Simple sequence-based kernels do not predict protein-protein interactions.
@en-gb
Simple sequence-based kernels do not predict protein-protein interactions.
@nl
P2093
P2860
P356
P1433
P1476
Simple sequence-based kernels do not predict protein-protein interactions.
@en
P2093
Chris J Needham
Jiantao Yu
Yangchao Huang
P2860
P304
P356
10.1093/BIOINFORMATICS/BTQ483
P407
P577
2010-08-27T00:00:00Z