Wilson Wen Bin Goh

Orcid: 0000-0003-3863-7501

According to our database1, Wilson Wen Bin Goh authored at least 25 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
What can scatterplots teach us about doing data science better?
Int. J. Data Sci. Anal., January, 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.
IEEE Trans. Fuzzy Syst., December, 2023

ProJect: a powerful mixed-model missing value imputation method.
Briefings Bioinform., July, 2023

A novel survival prediction signature outperforms PAM50 and artificial intelligence-based feature-selection methods.
Comput. Biol. Chem., June, 2023

ProInfer: An interpretable protein inference tool leveraging on biological networks.
PLoS Comput. Biol., March, 2023

PROSE: phenotype-specific network signatures from individual proteomic samples.
Briefings Bioinform., March, 2023

Evaluating network-based missing protein prediction using p-values, Bayes Factors, and probabilities.
J. Bioinform. Comput. Biol., February, 2023

An open unified deep graph learning framework for discovering drug leads.
CoRR, 2023

Mosaic LSM: A Liquid State Machine Approach for Multimodal Longitudinal Data Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
A novel pipeline for computerized mouse spermatogenesis staging.
Bioinform., November, 2022

2021
What can Venn diagrams teach us about doing data science better?
Int. J. Data Sci. Anal., 2021

Predicting Student Performance in Experiential Education.
Proceedings of the Database and Expert Systems Applications, 2021

2020
Avoid Oversimplifications in Machine Learning: Going beyond the Class-Prediction Accuracy.
Patterns, 2020

Extensions of the External Validation for Checking Learned Model Interpretability and Generalizability.
Patterns, 2020

The Birth of Bio-data Science: Trends, Expectations, and Applications.
Genom. Proteom. Bioinform., 2020

2019
Deeper investigation into the utility of functional class scoring in missing protein prediction from proteomics data.
J. Bioinform. Comput. Biol., 2019

Advanced bioinformatics methods for practical applications in proteomics.
Briefings Bioinform., 2019

2018
Sample-to-sample p-value variability and its implications for multivariate analysis.
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.
BMC Genom., 2017

2016
Evaluating feature-selection stability in next-generation proteomics.
J. Bioinform. Comput. Biol., 2016

Spectra-first feature analysis in clinical proteomics - A case study in renal cancer.
J. Bioinform. Comput. Biol., 2016

2015
Analysing extremely small sized ratio datasets.
Int. J. Bioinform. Res. Appl., 2015

2013
Random forests on Hadoop for genome-wide association studies of multivariate neuroimaging phenotypes.
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.
Int. J. Bioinform. Res. Appl., 2012

The role of miRNAs in complex formation and control.
Bioinform., 2012


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