Browsing byAuthorGoh, WWB
Showing results 1 to 12 of 12
| Issue Date | Title | Author(s) |
| 2023-09 | How missing value imputation is confounded with batch effects and what you can do about it. | Goh, WWB; Hui, HWH; Wong, L |
| 2023-07-20 | ProJect: a powerful mixed-model missing value imputation method. | Kong, W; Wong, BJH; Hui, HWH; Lim, KP; Wang, Y; Wong, L; Goh, WWB |
| 2023-03 | ProInfer: An interpretable protein inference tool leveraging on biological networks. | Peng, H; Wong, L; Goh, WWB; Elofsson, A |
| 2023-02 | Evaluating network-based missing protein prediction using p-values, Bayes Factors, and probabilities. | Goh, WWB; Kong, W; Wong, L |
| 2022-09 | Are batch effects still relevant in the age of big data? | Goh, WWB; Yong, CH; Wong, L |
| 2022-07-05 | Resolving missing protein problems using functional class scoring. | Wong, BJH; Kong, W; Wong, L; Goh, WWB |
| 2022-04 | Proteomic datasets of HeLa and SiHa cell lines acquired by DDA-PASEF and diaPASEF. | Huang, Z; Kong, W; Wong, BJ; Gao, H; Guo, T; Liu, X; Du, X; Wong, L; Goh, WWB |
| 2022-03 | How doppelgänger effects in biomedical data confound machine learning. | Wang, LR; Wong, L; Goh, WWB |
| 2022-01-06 | PROTREC: A probability-based approach for recovering missing proteins based on biological networks. | Kong, W; Wong, BJH; Gao, H; Guo, T; Liu, X; Du, X; Wong, L; Goh, WWB |
| 2020-09-23 | How to do quantile normalization correctly for gene expression data analyses. | Zhao, Y; Wong, L; Goh, WWB |
| 2020-05-08 | Avoid Oversimplifications in Machine Learning: Going beyond the Class-Prediction Accuracy. | Ho, SY; Wong, L; Goh, WWB |
| 2019-01 | Turning straw into gold: building robustness into gene signature inference. | Goh, WWB; Wong, L |
