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Harvard Wai Hann Hui

Showing results (1-10 of 6) with videos related to

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Drug Discovery Today|June 10, 2023
How missing value imputation is confounded with batch effects and what you can do about itWilson Wen Bin Goh, Harvard Wai Hann Hui, Limsoon Wong
Briefings in Bioinformatics|October 14, 2024
Thinking points for effective batch correction on biomedical dataHarvard Wai Hann Hui, Weijia Kong, Wilson Wen Bin Goh
Briefings in Bioinformatics|April 15, 2025
Assessing the impact of batch effect associated missing values on downstream analysis in high-throughput biomedical dataHarvard Wai Hann Hui, Wei Xin Chan, Wilson Wen Bin Goh
Scientific Reports|February 22, 2023
The importance of batch sensitization in missing value imputationHarvard Wai Hann Hui, Weijia Kong, Hui Peng, et al.
Proteomics|November 9, 2022
Dealing with missing values in proteomics dataWeijia Kong, Harvard Wai Hann Hui, Hui Peng, et al.
Briefings in Bioinformatics|July 7, 2023
ProJect: a powerful mixed-model missing value imputation methodWeijia Kong, Bertrand Jern Han Wong, Harvard Wai Hann Hui, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Drug Discovery Today|June 10, 2023
How missing value imputation is confounded with batch effects and what you can do about itWilson Wen Bin Goh, Harvard Wai Hann Hui, Limsoon Wong
Briefings in Bioinformatics|October 14, 2024
Thinking points for effective batch correction on biomedical dataHarvard Wai Hann Hui, Weijia Kong, Wilson Wen Bin Goh
Briefings in Bioinformatics|April 15, 2025
Assessing the impact of batch effect associated missing values on downstream analysis in high-throughput biomedical dataHarvard Wai Hann Hui, Wei Xin Chan, Wilson Wen Bin Goh
Scientific Reports|February 22, 2023
The importance of batch sensitization in missing value imputationHarvard Wai Hann Hui, Weijia Kong, Hui Peng, et al.
Proteomics|November 9, 2022
Dealing with missing values in proteomics dataWeijia Kong, Harvard Wai Hann Hui, Hui Peng, et al.
Briefings in Bioinformatics|July 7, 2023
ProJect: a powerful mixed-model missing value imputation methodWeijia Kong, Bertrand Jern Han Wong, Harvard Wai Hann Hui, et al.
Pageof 1