Author

Juntao Li

Dalian University of Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Assay:metagenomics· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Chao Liu· 1 shared Chentao Huang· 1 shared Feng TianiD· 1 shared Hongfei Lin· 1 shared Huaien Luo· 1 shared Jian Wang· 1 shared Kuan Hui Burton Chia· 1 shared Ling LuoiD· 1 shared

Activity by Year

2014-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Chao Liu

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2 papers

Recent·Most cited

PatientPheX: A Full-Text Biomedical Corpus for Patient-Specific Phenotype Information Extraction

Xuanlyu Zhu, Ling Luo, Zhijun Wang, Chentao Huang, Yunxiang Li, Yang Zhong, Tengxiao Lv, Juntao Li, Chao Liu, Feng Tian, Yuanyuan Sun, Jian Wang, Hongfei Lin

PatientPheX is a biomedical corpus for extracting and normalizing patient-specific phenotype information from full-text articles, achieving high entity and relation extraction performance.

bioRxiv · Oct 15, 2026 · PreprintBioinformatics

The importance of study design for detecting differentially abundant features in high-throughput experiments

Huaien Luo, Juntao Li, Kuan Hui Burton Chia, Paul Robson, Niranjan Nagarajan

This paper introduces EDDA, a tool for designing high-throughput experiments to detect differentially abundant features, showing it improves precision and reduces resource use in single-cell RNA-seq, Nanostring, and Metagenomics studies.

Genome Biology · Dec 3, 2014Peer-reviewedBioinformatics