The role of miRNAs in complex formation and control. - Wilson Wen Bin Goh; Hirotaka Oikawa; Judy Chia Ghee Sng; Marek J. Sergot; Limsoon Wong (Bioinform., 2012)

A network-based maximum link approach towards MS identifies potentially important roles for undetected ARRB1/2 and ACTB in liver cancer progression. - Wilson Wen Bin Goh; Yie Hou Lee; Zubaidah M. Ramdzan; Maxey C. M. Chung; Limsoon Wong; Marek J. Sergot (Int. J. Bioinform. Res. Appl., 2012)

Random forests on Hadoop for genome-wide association studies of multivariate neuroimaging phenotypes. - Yue Wang 006; Wilson Wen Bin Goh; Limsoon Wong; Giovanni Montana (BMC Bioinform., 2013)

Analysing extremely small sized ratio datasets. - Piero Ricchiuto; Judy Chia Ghee Sng; Wilson Wen Bin Goh (Int. J. Bioinform. Res. Appl., 2015)

Spectra-first feature analysis in clinical proteomics - A case study in renal cancer. - Wilson Wen Bin Goh; Limsoon Wong (J. Bioinform. Comput. Biol., 2016)

Evaluating feature-selection stability in next-generation proteomics. - Wilson Wen Bin Goh; Limsoon Wong (J. Bioinform. Comput. Biol., 2016)

Protein complex-based analysis is resistant to the obfuscating consequences of batch effects - a case study in clinical proteomics. - Wilson Wen Bin Goh; Limsoon Wong (BMC Genom., 2017)

Sample-to-sample p-value variability and its implications for multivariate analysis. - Wei Wang; Wilson Wen Bin Goh (Int. J. Bioinform. Res. Appl., 2018)

Advanced bioinformatics methods for practical applications in proteomics. - Wilson Wen Bin Goh; Limsoon Wong (Briefings Bioinform., 2019)

Deeper investigation into the utility of functional class scoring in missing protein prediction from proteomics data. - Yaxing Zhao; Andrew Chi-Hau Sue; Wilson Wen Bin Goh (J. Bioinform. Comput. Biol., 2019)

The Birth of Bio-data Science: Trends, Expectations, and Applications. - Wilson Wen Bin Goh; Limsoon Wong (Genom. Proteom. Bioinform., 2020)

Extensions of the External Validation for Checking Learned Model Interpretability and Generalizability. - Sung Yang Ho; Kimberly Phua; Limsoon Wong; Wilson Wen Bin Goh (Patterns, 2020)

Avoid Oversimplifications in Machine Learning: Going beyond the Class-Prediction Accuracy. - Sung Yang Ho; Limsoon Wong; Wilson Wen Bin Goh (Patterns, 2020)

Predicting Student Performance in Experiential Education. - Lejia Lin; Leonard Wee Liat Tan; Nicole Hui Lin Kan; Ooi Kiang Tan; Chun Chau Sze; Wilson Wen Bin Goh (DEXA (1), 2021)

What can Venn diagrams teach us about doing data science better? - Sung Yang Ho; Sophia Tan; Chun Chau Sze; Limsoon Wong; Wilson Wen Bin Goh (Int. J. Data Sci. Anal., 2021)

A novel pipeline for computerized mouse spermatogenesis staging. - Haoda Lu; Min Zang; Gabriel Pik Liang Marini; Xiangxue Wang; Yiping Jiao; Nianfei Ao; Kok Haur Ong; Xinmi Huo; Longjie Li 004; Eugene Yujun Xu; Wilson Wen Bin Goh; Weimiao Yu; et al. (Bioinform., 2022)

Mosaic LSM: A Liquid State Machine Approach for Multimodal Longitudinal Data Analysis. - Sugam Budhraja; Balkaran Singh; Maryam Doborjeh; Zohreh Gholami Doborjeh; Samuel Tan; Edmund M.-K. Lai; Wilson Wen Bin Goh; Nikola K. Kasabov (IJCNN, 2023)

An open unified deep graph learning framework for discovering drug leads. - Yueming Yin; Haifeng Hu 004; Zhen Yang 001; Jitao Yang; Chun Ye; Jiansheng Wu; Wilson Wen Bin Goh (CoRR, 2023)

Evaluating network-based missing protein prediction using p-values, Bayes Factors, and probabilities. - Wilson Wen Bin Goh; Weijia Kong; Limsoon Wong (J. Bioinform. Comput. Biol., 2023)

PROSE: phenotype-specific network signatures from individual proteomic samples. - Bertrand Jern Han Wong; Weijia Kong; Hui Peng; Wilson Wen Bin Goh (Briefings Bioinform., 2023)

ProInfer: An interpretable protein inference tool leveraging on biological networks. - Hui Peng; Limsoon Wong; Wilson Wen Bin Goh (PLoS Comput. Biol., 2023)

A novel survival prediction signature outperforms PAM50 and artificial intelligence-based feature-selection methods. - Reuben Jyong Kiat Foo; Siqi Tian; Ern Yu Tan; Wilson Wen Bin Goh (Comput. Biol. Chem., 2023)

ProJect: a powerful mixed-model missing value imputation method. - Weijia Kong; Bertrand Jern Han Wong; Harvard Wai Hann Hui; Kai Peng Lim; Yulan Wang; Limsoon Wong; Wilson Wen Bin Goh (Briefings Bioinform., 2023)

Filter and Wrapper Stacking Ensemble (FWSE): a robust approach for reliable biomarker discovery in high-dimensional omics data. - Sugam Budhraja; Maryam Doborjeh; Balkaran Singh; Samuel Tan; Zohreh Gholami Doborjeh; Edmund M.-K. Lai; Alexander Merkin; Jimmy Lee; Wilson Wen Bin Goh; Nikola K. Kasabov (Briefings Bioinform., 2023)

Transfer Learning of Fuzzy Spatio-Temporal Rules in a Brain-Inspired Spiking Neural Network Architecture: A Case Study on Spatio-Temporal Brain Data. - Nikola K. Kasabov; Yongyao Tan; Maryam Doborjeh; Enmei Tu; Jie Yang 002; Wilson Wen Bin Goh; Jimmy Lee (IEEE Trans. Fuzzy Syst., 2023)

Optimal protospacer sequences recommended by ensemble deep learning for high-efficiency base editing. - Hui Peng; Xiaocai Zhang; Yuansheng Liu; Yi Pan 001; Wilson Wen Bin Goh; Jinyan Li (BCB, 2024)

Assessing the impact of batch effect associated missing values on downstream analysis in high-throughput biomedical data. - Harvard Wai Hann Hui; Wei Xin Chan; Wilson Wen Bin Goh (Briefings Bioinform., 2024)

Thinking points for effective batch correction on biomedical data. - Harvard Wai Hann Hui; Weijia Kong; Wilson Wen Bin Goh (Briefings Bioinform., 2024)

Ten quick tips for ensuring machine learning model validity. - Wilson Wen Bin Goh; Mohammad Neamul Kabir; Sehwan Yoo; Limsoon Wong (PLoS Comput. Biol., 2024)

What can scatterplots teach us about doing data science better? - Wilson Wen Bin Goh; Reuben Jyong Kiat Foo; Limsoon Wong (Int. J. Data Sci. Anal., 2024)

Exploiting the similarity of dissimilarities for biomedical applications and enhanced machine learning. - Mohammad Neamul Kabir; Li Rong Wang; Wilson Wen Bin Goh (PLoS Comput. Biol., 2025)