Limsoon Wong 黄任祥

Limsoon Wong 黄任祥

National University of Singapore

H-index: 66

Asia-Singapore

About Limsoon Wong 黄任祥

Limsoon Wong 黄任祥, With an exceptional h-index of 66 and a recent h-index of 27 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of Databases, Data Mining, Bioinformatics, Computational Biology.

His recent articles reflect a diverse array of research interests and contributions to the field:

A machine-learning exploration of the exposome from preconception in early childhood atopic eczema, rhinitis and wheeze development

ProJect: a powerful mixed-model missing value imputation method

Obstacles to effective model deployment in healthcare

ProInfer: An interpretable protein inference tool leveraging on biological networks

Class-specific correction and classification of NIR spectra of edible oils

Evaluating network-based missing protein prediction using p-values, Bayes Factors, and probabilities

How missing value imputation is confounded with batch effects and what you can do about it

HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence

Limsoon Wong 黄任祥 Information

University

Position

KITHCT Professor of Computer Science & Professor of Pathology

Citations(all)

17897

Citations(since 2020)

3778

Cited By

15836

hIndex(all)

66

hIndex(since 2020)

27

i10Index(all)

216

i10Index(since 2020)

103

Email

University Profile Page

National University of Singapore

Google Scholar

View Google Scholar Profile

Limsoon Wong 黄任祥 Skills & Research Interests

Databases

Data Mining

Bioinformatics

Computational Biology

Top articles of Limsoon Wong 黄任祥

Title

Journal

Author(s)

Publication Date

A machine-learning exploration of the exposome from preconception in early childhood atopic eczema, rhinitis and wheeze development

Environmental Research

Yizhi Dong

Hui Xing Lau

Noor Hidayatul Aini Suaini

Michelle Zhi Ling Kee

Delicia Shu Qin Ooi

...

2024/2/19

ProJect: a powerful mixed-model missing value imputation method

Briefings in Bioinformatics

Weijia Kong

Bertrand Jern Han Wong

Harvard Wai Hann Hui

Kai Peng Lim

Yulan Wang

...

2023/7

Obstacles to effective model deployment in healthcare

Journal of Bioinformatics and Computational Biology

Wei Xin Chan

Limsoon Wong

2023/4/18

ProInfer: An interpretable protein inference tool leveraging on biological networks

PLOS Computational Biology

Hui Peng

Limsoon Wong

Wilson Wen Bin Goh

2023/3/17

Class-specific correction and classification of NIR spectra of edible oils

Chemometrics and Intelligent Laboratory Systems

Lakshmi Alagappan

Jia En Chu

Joanna Huixin Chua

Jia Wen Ding

Ronghui Xiao

...

2023/10/15

Evaluating network-based missing protein prediction using p-values, Bayes Factors, and probabilities

Journal of Bioinformatics and Computational Biology

Wilson Wen Bin Goh

Weijia Kong

Limsoon Wong

2023/2/9

How missing value imputation is confounded with batch effects and what you can do about it

Wilson Wen Bin Goh

Harvard Wai Hann Hui

Limsoon Wong

2023/6/9

HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence

Molecular Cell

Wenhao Jin

Kristopher W Brannan

Katannya Kapeli

Samuel S Park

Hui Qing Tan

...

2023/7/20

EnsembleFam: towards more accurate protein family prediction in the twilight zone

BMC bioinformatics

Mohammad Neamul Kabir

Limsoon Wong

2022/3/14

Density-based detection of cell transition states to construct disparate and bifurcating trajectories

Nucleic Acids Research

Jinyan Li Tian Lan

Gyorgy Hutvagner

Xuan Zhang

Tao Liu

Limsoon Wong

2022/9/16

What can scatterplots teach us about doing data science better?

International Journal of Data Science and Analytics

Wilson Wen Bin Goh

Reuben Jyong Kiat Foo

Limsoon Wong

2024/1

How doppelgänger effects in biomedical data confound machine learning

Drug Discovery Today

Li Rong Wang

Limsoon Wong

Wilson Wen Bin Goh

2022/3

PROTREC: A probability-based approach for recovering missing proteins based on biological networks

Journal of Proteomics

Weijia Kong

Bertrand Jern Han Wong

Huanhuan Gao

Tiannan Guo

Xianming Liu

...

2022/1/6

Are batch effects still relevant in the age of big data?

Wilson Wen Bin Goh

Chern Han Yong

Limsoon Wong

2022/9/1

Iterating on multiple collections in synchrony

Journal of Functional Programming

Stefano Perna

Val Tannen

Limsoon Wong

2022/1

Resolving missing protein problems using functional class scoring

Scientific Reports

Bertrand Jern Han Wong

Weijia Kong

Limsoon Wong

Wilson Wen Bin Goh

2022/7/5

Addressing an intensional expressiveness gap of comprehension syntax

LIMSOON WONG

2022/1

Proteomic datasets of HeLa and SiHa cell lines acquired by DDA-PASEF and diaPASEF

Data in Brief

Zelu Huang

Weijia Kong

Bertrand Jernhan Wong

Huanhuan Gao

Tiannan Guo

...

2022/4/1

Accounting for treatment during the development or validation of prediction models

Journal of Bioinformatics and Computational Biology

Wei Xin Chan

Limsoon Wong

2022/12/14

What can Venn diagrams teach us about doing data science better?

International Journal of Data Science and Analytics

Sung Yang Ho

Sophia Tan

Chun Chau Sze

Limsoon Wong

Wilson Wen Bin Goh

2021/1

See List of Professors in Limsoon Wong 黄任祥 University(National University of Singapore)

Co-Authors

H-index: 71
Wing-Kin Sung (宋永健)

Wing-Kin Sung (宋永健)

National University of Singapore

H-index: 55
Jinyan Li

Jinyan Li

University of Technology

H-index: 51
Susan Davidson

Susan Davidson

University of Pennsylvania

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