Multimodal network diffusion predicts future disease-gene-chemical associations.

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Title: Multimodal network diffusion predicts future disease-gene-chemical associations.
Authors: Lin CH; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA., Konecki DM; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA., Liu M; Department of Computer Science, Purdue University, West Lafayette, IN, USA., Wilson SJ; Department of Biochemistry and Molecular Biology, Houston, TX, USA., Nassar H; Department of Computer Science, Purdue University, West Lafayette, IN, USA., Wilkins AD; Departments of Molecular and Human Genetics, and Pharmacology, Houston, TX, USA.; Computational and Integrative Biomedical Research Center, Baylor College of Medicine, Houston, TX, USA., Gleich DF; Department of Computer Science, Purdue University, West Lafayette, IN, USA., Lichtarge O; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA.; Department of Biochemistry and Molecular Biology, Houston, TX, USA.; Departments of Molecular and Human Genetics, and Pharmacology, Houston, TX, USA.; Computational and Integrative Biomedical Research Center, Baylor College of Medicine, Houston, TX, USA.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2019 May 01; Vol. 35 (9), pp. 1536-1543.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Multimodal network diffusion predicts future disease-gene-chemical associations.
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  Data: <searchLink fieldCode="AU" term="%22Lin+CH%22">Lin CH</searchLink>; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA.<br /><searchLink fieldCode="AU" term="%22Konecki+DM%22">Konecki DM</searchLink>; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA.<br /><searchLink fieldCode="AU" term="%22Liu+M%22">Liu M</searchLink>; Department of Computer Science, Purdue University, West Lafayette, IN, USA.<br /><searchLink fieldCode="AU" term="%22Wilson+SJ%22">Wilson SJ</searchLink>; Department of Biochemistry and Molecular Biology, Houston, TX, USA.<br /><searchLink fieldCode="AU" term="%22Nassar+H%22">Nassar H</searchLink>; Department of Computer Science, Purdue University, West Lafayette, IN, USA.<br /><searchLink fieldCode="AU" term="%22Wilkins+AD%22">Wilkins AD</searchLink>; Departments of Molecular and Human Genetics, and Pharmacology, Houston, TX, USA.; Computational and Integrative Biomedical Research Center, Baylor College of Medicine, Houston, TX, USA.<br /><searchLink fieldCode="AU" term="%22Gleich+DF%22">Gleich DF</searchLink>; Department of Computer Science, Purdue University, West Lafayette, IN, USA.<br /><searchLink fieldCode="AU" term="%22Lichtarge+O%22">Lichtarge O</searchLink>; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA.; Department of Biochemistry and Molecular Biology, Houston, TX, USA.; Departments of Molecular and Human Genetics, and Pharmacology, Houston, TX, USA.; Computational and Integrative Biomedical Research Center, Baylor College of Medicine, Houston, TX, USA.
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  Data: <searchLink fieldCode="JN" term="%229808944%22">Bioinformatics (Oxford, England)</searchLink> [Bioinformatics] 2019 May 01; Vol. 35 (9), pp. 1536-1543.
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        Value: 10.1093/bioinformatics/bty858
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        Text: English
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              Text: 2019 May 01
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              Y: 2019
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