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Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers
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| Zeitschriftentitel: | Molecular Systems Biology |
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| Personen und Körperschaften: | , |
| In: | Molecular Systems Biology, 10, 2014, 8 |
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Reimand, Jüri Bader, Gary D Reimand, Jüri Bader, Gary D |
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Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers |
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Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers |
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Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers |
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Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers |
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Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers |
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Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers |
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systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers |
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Applied Mathematics Computational Theory and Mathematics General Agricultural and Biological Sciences General Immunology and Microbiology General Biochemistry, Genetics and Molecular Biology Information Systems |
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| spelling | Reimand, Jüri Bader, Gary D 1744-4292 1744-4292 Springer Science and Business Media LLC Applied Mathematics Computational Theory and Mathematics General Agricultural and Biological Sciences General Immunology and Microbiology General Biochemistry, Genetics and Molecular Biology Information Systems http://dx.doi.org/10.15252/msb.20145633 Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers Molecular Systems Biology |
| spellingShingle | Reimand, Jüri, Bader, Gary D, Molecular Systems Biology, Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers, Applied Mathematics, Computational Theory and Mathematics, General Agricultural and Biological Sciences, General Immunology and Microbiology, General Biochemistry, Genetics and Molecular Biology, Information Systems |
| title | Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers |
| title_full | Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers |
| title_fullStr | Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers |
| title_full_unstemmed | Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers |
| title_short | Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers |
| title_sort | systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers |
| title_unstemmed | Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers |
| topic | Applied Mathematics, Computational Theory and Mathematics, General Agricultural and Biological Sciences, General Immunology and Microbiology, General Biochemistry, Genetics and Molecular Biology, Information Systems |
| url | http://dx.doi.org/10.15252/msb.20145633 |