It's the machine that matters: Predicting gene function and phenotype from protein networks.
about
Towards establishment of a rice stress response interactomeLeucine-rich repeat kinase 2 binds to neuronal vesicles through protein interactions mediated by its C-terminal WD40 domainThe STRING database in 2011: functional interaction networks of proteins, globally integrated and scoredApplications of comparative evolution to human disease geneticsInference of phenotype-defining functional modules of protein families for microbial plant biomass degradersCOEXPEDIA: exploring biomedical hypotheses via co-expressions associated with medical subject headings (MeSH)InterPred: A pipeline to identify and model protein-protein interactions.Integration of biological data by kernels on graph nodes allows prediction of new genes involved in mitotic chromosome condensation.A visual review of the interactome of LRRK2: Using deep-curated molecular interaction data to represent biology.MUFFINN: cancer gene discovery via network analysis of somatic mutation data.Mining breast cancer genes with a network based noise-tolerant approachHigh-resolution network biology: connecting sequence with function.RIDDLE: reflective diffusion and local extension reveal functional associations for unannotated gene sets via proximity in a gene network.Prioritizing candidate disease genes by network-based boosting of genome-wide association data.The LRRK2 G2385R variant is a partial loss-of-function mutation that affects synaptic vesicle trafficking through altered protein interactions.Potential translational targets revealed by linking mouse grooming behavioral phenotypes to gene expression using public databases.Nanohole-based surface plasmon resonance instruments with improved spectral resolution quantify a broad range of antibody-ligand binding kinetics.Genetic association studies in lumbar disc degeneration: a systematic reviewLabeling nodes using three degrees of propagationDiffusion of information throughout the host interactome reveals gene expression variations in network proximity to target proteins of hepatitis C virus.Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function predictionProtein complexes in bacteria.High-content screening of yeast mutant libraries by shotgun lipidomics.A network-based approach to dissect the cilia/centrosome complex interactome.Natural variation in CDC28 underlies morphological phenotypes in an environmental yeast isolate.Genetic dissection of the biotic stress response using a genome-scale gene network for rice.Predicting peptide-mediated interactions on a genome-wide scale.Pathway-Dependent Effectiveness of Network Algorithms for Gene Prioritization.Novel search method for the discovery of functional relationships.A Resource of Quantitative Functional Annotation for Homo sapiens GenesSelecting causal genes from genome-wide association studies via functionally coherent subnetworks.RiceNet v2: an improved network prioritization server for rice genesHost-Microbe Protein Interactions during Bacterial Infection.Function-driven discovery of disease genes in zebrafish using an integrated genomics big data resource.Systematic prediction of gene function in Arabidopsis thaliana using a probabilistic functional gene networkPoplarGene: poplar gene network and resource for mining functional information for genes from woody plants.Predicting complex phenotype-genotype interactions to enable yeast engineering: Saccharomyces cerevisiae as a model organism and a cell factory.Identification of additional proteins in differential proteomics using protein interaction networks.An integrative machine learning strategy for improved prediction of essential genes in Escherichia coli metabolism using flux-coupled features.Insights into the inhibition and mechanism of compounds against LPS-induced PGE2 production: a pathway network-based approach and molecular dynamics simulations.
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It's the machine that matters: Predicting gene function and phenotype from protein networks.
description
article científic
@ca
article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 15 July 2010
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
It's the machine that matters: ...... enotype from protein networks.
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It's the machine that matters: ...... enotype from protein networks.
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type
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It's the machine that matters: ...... enotype from protein networks.
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It's the machine that matters: ...... enotype from protein networks.
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It's the machine that matters: ...... enotype from protein networks.
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It's the machine that matters: ...... enotype from protein networks.
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P2860
P1476
It's the machine that matters: ...... enotype from protein networks.
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P2093
Peggy I Wang
P2860
P304
P356
10.1016/J.JPROT.2010.07.005
P577
2010-07-15T00:00:00Z