Choosing negative examples for the prediction of protein-protein interactions.
about
Semantic similarity in biomedical ontologiesKUPS: constructing datasets of interacting and non-interacting protein pairs with associated attributionsPopular computational methods to assess multiprotein complexes derived from label-free affinity purification and mass spectrometry (AP-MS) experimentsNovel protein-protein interactions inferred from literature contextPrediction of Protein-Protein Interactions by Evidence Combining MethodsSimultaneous genome-wide inference of physical, genetic, regulatory, and functional pathway componentsIn silico discovery and experimental validation of new protein-protein interactionsA graph kernel approach for alignment-free domain-peptide interaction prediction with an application to human SH3 domainsDomain-mediated protein interaction prediction: From genome to network.Negatome 2.0: a database of non-interacting proteins derived by literature mining, manual annotation and protein structure analysisPredicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forestIdentifying binary protein-protein interactions from affinity purification mass spectrometry data.Finding function: evaluation methods for functional genomic data.LIGSITEcsc: predicting ligand binding sites using the Connolly surface and degree of conservationA novel one-class SVM based negative data sampling method for reconstructing proteome-wide HTLV-human protein interaction networks.Exploiting amino acid composition for predicting protein-protein interactionsProteome scanning to predict PDZ domain interactions using support vector machines.Computational prediction of virus-human protein-protein interactions using embedding kernelized heterogeneous data.Inferring genome-wide functional linkages in E. coli by combining improved genome context methods: comparison with high-throughput experimental dataPredicting co-complexed protein pairs from heterogeneous data.Probabilistic prediction and ranking of human protein-protein interactions.Improved homology-driven computational validation of protein-protein interactions motivated by the evolutionary gene duplication and divergence hypothesis.Prediction of human functional genetic networks from heterogeneous data using RVM-based ensemble learningLarge-scale prediction of protein-protein interactions from structures.A human functional protein interaction network and its application to cancer data analysisAcross-proteome modeling of dimer structures for the bottom-up assembly of protein-protein interaction networks.Machine learning and genome annotation: a match meant to be?Integrating diverse biological and computational sources for reliable protein-protein interactions.Expanding the landscape of chromatin modification (CM)-related functional domains and genes in human.The impact of multifunctional genes on "guilt by association" analysisSimplified method to predict mutual interactions of human transcription factors based on their primary structure.Improving accuracy of protein-protein interaction prediction by considering the converse problem for sequence representationShort Co-occurring Polypeptide Regions Can Predict Global Protein Interaction Maps.Predicting the fission yeast protein interaction network.An experimentally derived confidence score for binary protein-protein interactions.Prediction of interactions between viral and host proteins using supervised machine learning methods.Local functional descriptors for surface comparison based binding prediction.Efficient prediction of human protein-protein interactions at a global scale.PPIcons: identification of protein-protein interaction sites in selected organisms.Physical protein-protein interactions predicted from microarrays
P2860
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P2860
Choosing negative examples for the prediction of protein-protein interactions.
description
2006 nî lūn-bûn
@nan
2006 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի մարտին 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
Choosing negative examples for the prediction of protein-protein interactions.
@ast
Choosing negative examples for the prediction of protein-protein interactions.
@en
type
label
Choosing negative examples for the prediction of protein-protein interactions.
@ast
Choosing negative examples for the prediction of protein-protein interactions.
@en
prefLabel
Choosing negative examples for the prediction of protein-protein interactions.
@ast
Choosing negative examples for the prediction of protein-protein interactions.
@en
P2860
P1433
P1476
Choosing negative examples for the prediction of protein-protein interactions.
@en
P2860
P2888
P356
10.1186/1471-2105-7-S1-S2
P478
P577
2006-03-20T00:00:00Z
P6179
1038206691