PROTREC: a probability-based approach for recovering missing proteins based on biological networks
A novel network-based approach for predicting missing proteins (MPs) is proposed here. This approach, PROTREC (short for PROtein RECovery), dominates existing network-based methods - such as Functional Class Scoring (FCS), Hypergeometric Enrichment (HE), and Gene Set Enrichment Analysis (GSEA) - acr...
Main Authors: | Kong, Weijia, Wong, Bertrand Jern Han, Gao, Huanhuan, Guo, Tiannan, Liu, Xianming, Du, Xiaoxian, Wong, Limsoon, Goh, Wilson Wen Bin |
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Other Authors: | School of Biological Sciences |
Format: | Journal Article |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/160171 |
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