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Nano Random Forests to mine protein complexes and their relationships in quantitative proteomics data
View ORCID ProfileLuis F. Montaño-Gutierrez, Shinya Ohta, Georg Kustatscher, William C. Earnshaw, View ORCID ProfileJuri Rappsilber
doi: https://doi.org/10.1101/050302
Luis F. Montaño-Gutierrez
1Wellcome Trust Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom.
Shinya Ohta
1Wellcome Trust Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom.
2Center for Innovative and Translational Medicine, Medical School, Kochi University, Kohasu, Oko-cho, Nankoku, Kochi 783-8505, JAPAN
Georg Kustatscher
1Wellcome Trust Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom.
William C. Earnshaw
1Wellcome Trust Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom.
Juri Rappsilber
1Wellcome Trust Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom.
3Department of Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 13355 Berlin, Germany.
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Posted May 01, 2016.
Nano Random Forests to mine protein complexes and their relationships in quantitative proteomics data
Luis F. Montaño-Gutierrez, Shinya Ohta, Georg Kustatscher, William C. Earnshaw, Juri Rappsilber
bioRxiv 050302; doi: https://doi.org/10.1101/050302
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