Deeper investigation into the utility of functional class scoring in missing protein prediction from proteomics data
Functional Class Scoring (FCS) is a network-based approach previously demonstrated to be powerful in missing protein prediction (MPP). We update its performance evaluation using data derived from new proteomics technology (SWATH) and also checked for reproducibility using two independent datasets pr...
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Main Authors: | , , |
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格式: | Article |
語言: | English |
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2020
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在線閱讀: | https://hdl.handle.net/10356/144754 |
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