Optimizing differential expression analysis for proteomics data via high-performing rules and ensemble inference
Identification of differentially expressed proteins in a proteomics workflow typically encompasses five key steps: raw data quantification, expression matrix construction, matrix normalization, missing value imputation (MVI), and differential expression analysis. The plethora of options in each step...
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Main Authors: | Peng, Hui, Wang, He, Kong, Weijia, Li, Jinyan, Goh, Wilson Wen Bin |
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Other Authors: | Lee Kong Chian School of Medicine (LKCMedicine) |
Format: | Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/178809 |
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Institution: | Nanyang Technological University |
Language: | English |
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