Wilson Wen Bin Goh

According to our database, Wilson Wen Bin Goh authored at least 29 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., January, 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

Thinking points for effective batch correction on biomedical data.

Harvard Wai Hann Hui, Weijia Kong, Wilson Wen Bin Goh

Briefings Bioinform., 2024

Optimal protospacer sequences recommended by ensemble deep learning for high-efficiency base editing.

Hui Peng, Xiaocai Zhang, Yuansheng Liu, Yi Pan, Wilson Wen Bin Goh, Jinyan Li

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

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 Gholami Doborjeh, Enmei Tu, Jie Yang, Wilson Wen Bin Goh, Jimmy Lee

IEEE Trans. Fuzzy Syst., December, 2023

Filter and Wrapper Stacking Ensemble (FWSE): a robust approach for reliable biomarker discovery in high-dimensional omics data.

Sugam Budhraja, Maryam Gholami Doborjeh, Balkaran Singh, Samuel Tan, Zohreh Gholami Doborjeh, Edmund Lai, Alexander Merkin, Jimmy Lee, Wilson Wen Bin Goh, Nikola K. Kasabov

Briefings Bioinform., September, 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., July, 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., June, 2023

ProInfer: An interpretable protein inference tool leveraging on biological networks.

Hui Peng, Limsoon Wong, Wilson Wen Bin Goh

PLoS Comput. Biol., March, 2023

PROSE: phenotype-specific network signatures from individual proteomic samples.

Bertrand Jern Han Wong, Weijia Kong, Hui Peng, Wilson Wen Bin Goh

Briefings Bioinform., March, 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., February, 2023

An open unified deep graph learning framework for discovering drug leads.

Yueming Yin, Haifeng Hu, Zhen Yang, Jitao Yang, Chun Ye, Jiansheng Wu, Wilson Wen Bin Goh

CoRR, 2023

Mosaic LSM: A Liquid State Machine Approach for Multimodal Longitudinal Data Analysis.

Sugam Budhraja, Balkaran Singh, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Samuel Tan, Edmund Lai, Wilson Wen Bin Goh, Nikola K. Kasabov

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

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, Eugene Yujun Xu, Wilson Wen Bin Goh, Weimiao Yu, Jun Xu

Bioinform., November, 2022

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

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

Proceedings of the Database and Expert Systems Applications, 2021

2020

Avoid Oversimplifications in Machine Learning: Going beyond the Class-Prediction Accuracy.

Sung Yang Ho, Limsoon Wong, Wilson Wen Bin Goh

Patterns, 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

The Birth of Bio-data Science: Trends, Expectations, and Applications.

Wilson Wen Bin Goh, Limsoon Wong

Genom. Proteom. Bioinform., 2020

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

Advanced bioinformatics methods for practical applications in proteomics.

Wilson Wen Bin Goh, Limsoon Wong

Briefings Bioinform., 2019

2018

Sample-to-sample p-value variability and its implications for multivariate analysis.

Wei Wang, Wilson Wen Bin Goh

Int. J. Bioinform. Res. Appl., 2018

2017

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

2016

Evaluating feature-selection stability in next-generation proteomics.

Wilson Wen Bin Goh, Limsoon Wong

J. Bioinform. Comput. Biol., 2016

Spectra-first feature analysis in clinical proteomics - A case study in renal cancer.

Wilson Wen Bin Goh, Limsoon Wong

J. Bioinform. Comput. Biol., 2016

2015

Analysing extremely small sized ratio datasets.

Piero Ricchiuto, Judy Chia Ghee Sng, Wilson Wen Bin Goh

Int. J. Bioinform. Res. Appl., 2015

2013

Random forests on Hadoop for genome-wide association studies of multivariate neuroimaging phenotypes.

Yue Wang, Wilson Wen Bin Goh, Limsoon Wong, Giovanni Montana

BMC Bioinform., 2013

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

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