World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
18069
World Ranking
2448
National Ranking
42

Research.com Recognitions

  • 2013 - ACM Fellow For contributions to database theory and computational biology.

Overview

Limsoon Wong is affiliated with the National University of Singapore in Singapore. Their research primarily spans the field of Biochemistry, Genetics, and Molecular Biology, with 83 publications contributing to this domain.

The scientist's work covers several subfields including Molecular Biology, Artificial Intelligence, Statistics and Probability, Spectroscopy, and Biophysics. Research topics addressed include RNA and protein synthesis mechanisms, gene expression and cancer classification, advanced proteomics techniques and applications, genomics and phylogenetic studies, machine learning in bioinformatics, bioinformatics and genomic networks, and explainable artificial intelligence (XAI).

Limsoon Wong has contributed to multiple scientific journals and platforms. Frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Bioinformatics
  • Journal of Bioinformatics and Computational Biology
  • Patterns
  • Scientific Reports

Recent scholarly articles authored or co-authored by Limsoon Wong include:

  • Extensions of the External Validation for Checking Learned Model Interpretability and Generalizability, 2020, Patterns
  • How to do quantile normalization correctly for gene expression data analyses, 2020, Scientific Reports
  • HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence, 2023, Molecular Cell
  • Are batch effects still relevant in the age of big data?, 2022, Trends in Biotechnology
  • π-HuB: the proteomic navigator of the human body, 2024, Nature

Among frequent collaborators are Wilson Wen Bin Goh, Chowdhury Rafeed Rahman, Weijia Kong, Anders J. Skanderup, and Tiannan Guo.

Limsoon Wong has also contributed to book publications, including a title published by World Scientific: "Computational Approaches in Molecular Interaction Analysis" (2024).

The scientist has been recognized with the ACM Fellow award in 2013 for contributions to database theory and computational biology.

Best Publications

  • Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling.

    Eng Juh Yeoh;Mary E. Ross;Sheila A. Shurtleff;W. Kent Williams

  • Exploiting indirect neighbours and topological weight to predict protein function from protein--protein interactions

    Hon Nian Chua;Wing-Kin Sung;Limsoon Wong

  • A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns.

    Huiqing Liu;Jinyan Li;Limsoon Wong

  • CAEP: Classification by Aggregating Emerging Patterns

    Guozhu Dong;Xiuzhen Zhang;Limsoon Wong;Jinyan Li

  • Complex discovery from weighted PPI networks

    Guimei Liu;Limsoon Wong;Hon Nian Chua

  • Accomplishments and challenges in literature data mining for biology

    Lynette Hirschman;Jong C. Park;Junichi Tsujii;Limsoon Wong

  • Why Batch Effects Matter in Omics Data, and How to Avoid Them

    Wilson Wen Bin Goh;Wilson Wen Bin Goh;Wei Wang;Limsoon Wong

  • Principles of programming with complex objects and collection types

    Peter Buneman;Shamim Naqvi;Val Tannen;Limsoon Wong

  • Comprehension syntax

    Peter Buneman;Leonid Libkin;Dan Suciu;Val Tannen

  • Naturally Embedded Query Languages

    Val Tannen;Peter Buneman;Limsoon Wong

  • Weighted complex network analysis of travel routes on the Singapore public transportation system

    Harold Soh;Sonja Lim;Tianyou Zhang;Xiuju Fu

  • Identifying good diagnostic gene groups from gene expression profiles using the concept of emerging patterns.

    Jinyan Li;Limsoon Wong

  • Optimal gene expression analysis by microarrays

    Lance D. Miller;Philip M. Long;Philip M. Long;Limsoon Wong;Sayan Mukherjee

  • Extensions of the External Validation for Checking Learned Model Interpretability and Generalizability.

    Sung Yang Ho;Kimberly Phua;Limsoon Wong;Wilson Wen Bin Goh

  • Using indirect protein-protein interactions for protein complex predication.

    Hon Nian Chua;Kang Ning;Wing-Kin Sung;Hon Wai Leong

  • USING INDIRECT PROTEIN–PROTEIN INTERACTIONS FOR PROTEIN COMPLEX PREDICTION

    Hon Nian Chua;Kang Ning;Wing-Kin Sung;Hon Wai Leong

  • PLncDB: plant long non-coding RNA database.

    Jingjing Jin;Jun Liu;Huan Wang;Limsoon Wong

  • Kleisli, a functional query system

    Limsoon Wong

  • A Data Transformation System for Biological Data Sources

    Peter Buneman;Susan B. Davidson;Kyle Hart;G. Christian Overton

  • Relational expressive power of constraint query languages

    Michael Benedikt;Guozhu Dong;Leonid Libkin;Limsoon Wong

  • Database Theory — ICDT '92

    Val Tannen;Peter Buneman;Limsoon Wong

Frequent Co-Authors

Jinyan Li
Jinyan Li University of Technology Sydney
Leonid Libkin
Leonid Libkin University of Edinburgh
Guozhu Dong
Guozhu Dong Wright State University
See-Kiong Ng
See-Kiong Ng National University of Singapore
Wing-Kin Sung
Wing-Kin Sung Chinese University of Hong Kong
Gaoxi Xiao
Gaoxi Xiao Nanyang Technological University
Peter Buneman
Peter Buneman University of Edinburgh
Nam-Hai Chua
Nam-Hai Chua National University of Singapore
Chee Keong Kwoh
Chee Keong Kwoh Nanyang Technological University
Frank Eisenhaber
Frank Eisenhaber Agency for Science, Technology and Research

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