Author

Jonathan H. Chan

King Mongkut's University of Technology ThonburiORCID 0000-0002-2384-0462Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Approach:graph neural network· 1

Frequent Co-Authors

Thiptanawat Phongwattana· 2 shared

Activity by Year

2023-2026 · peak 1/yr

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 7, 2026

Benchmark validity in graph neural network scoring of metabolic reaction activity on Recon3D: detecting label leakage, memorized noise and input-invariant models

Thiptanawat Phongwattana, Jonathan H. Chan

The paper benchmarks a graph neural network for scoring metabolic reaction activity in tumors but finds issues like label leakage and memorization, leading to retraction of previous results.

DOI 10.64898/2026.09.02.748315

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 27, 2023

Automated Extraction and Visualization of Metabolic Networks from Biomedical Literature Using a Large Language Model

Thiptanawat Phongwattana, Jonathan H. Chan

This study uses GPT-3.5-Turbo to extract and visualize metabolic networks from PubMed abstracts, generating a directed graph of metabolic interactions.

3 citations

proteomicsmetabolomics

𝕏 PostBluesky