Siri of the cell: what biology could learn from the iPhone
about
Inferring gene ontologies from pairwise similarity data.Discoveries and advances in plant and animal genomicsHalf dozen of one, six billion of the other: What can small- and large-scale molecular systems biology learn from one another?From analog to digital models of gene regulationTranslation of Genotype to Phenotype by a Hierarchy of Cell SubsystemsA user's guide to the Arabidopsis T-DNA insertion mutant collections.Context Specificity in Causal Signaling Networks Revealed by Phosphoprotein Profiling.Constructing Networks of Organelle Functional Modules in Arabidopsis.Using Network Extracted Ontologies to Identify Novel Genes with Roles in Appressorium Development in the Rice Blast Fungus Magnaporthe oryzae.Predicting multicellular function through multi-layer tissue networks.From word models to executable models of signaling networks using automated assembly.Using deep learning to model the hierarchical structure and function of a cell.
P2860
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P2860
Siri of the cell: what biology could learn from the iPhone
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2014 nî lūn-bûn
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2014 թուականի Ապրիլին հրատարակուած գիտական յօդուած
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2014 թվականի ապրիլին հրատարակված գիտական հոդված
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2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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Siri of the cell: what biology could learn from the iPhone
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Siri of the cell: what biology could learn from the iPhone
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Siri of the cell: what biology could learn from the iPhone
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Siri of the cell: what biology could learn from the iPhone
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Siri of the cell: what biology could learn from the iPhone
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Siri of the cell: what biology could learn from the iPhone
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Siri of the cell: what biology could learn from the iPhone
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Siri of the cell: what biology could learn from the iPhone
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Siri of the cell: what biology could learn from the iPhone
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P2860
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Siri of the cell: what biology could learn from the iPhone
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P2093
Trey Ideker
P2860
P356
10.1016/J.CELL.2014.03.009
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2014-04-24T00:00:00Z