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

BioinformaticsbioRxivPreprintOct 15, 2026

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

Xuanlyu Zhu, Ling Luo, Zhijun 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.

DOI 10.64898/2026.10.07.757319

statistical modeldatabase / resource

BioinformaticsGenome BiologyPeer-reviewedDec 3, 2014

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

Huaien Luo, Juntao Li, Kuan Hui Burton Chia…·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.

DOI 10.1186/s13059-014-0527-7

bulk RNA-seqmetagenomics