Author

Shijie Luo

Xiamen UniversityORCID 0000-0001-8693-2412Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Research Focus:differential expression· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Assay:CRISPR screen· 1 Research Focus:database / resource· 1 Approach:deep learning· 1

Frequent Co-Authors

Jialiang HuangiD· 3 shared Chenyu Liang· 2 shared Jingyi Tian· 2 shared Mengsha Tong· 2 shared Yuxiang LiniD· 2 shared Zheyang ZhangiD· 2 shared Fei Chen· 1 shared Fei TengiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Jialiang HuangORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

GenomicsbioRxivPreprintFeb 5, 2026

eScreen: a deep learning framework for functionally decoding the regulatory genome at single-nucleotide resolution

Shijie Luo, Liquan Lin, Han Zhang…·Jialiang Huang

The paper introduces eScreen, a deep learning model that decodes regulatory genome function at single-nucleotide resolution using CRISPR screen data, achieving high accuracy and mechanistic interpretation.

DOI 10.64898/2026.02.02.703403

humanCRISPR screen

𝕏 PostBluesky

BioinformaticsBriefings in BioinformaticsPeer-reviewedMar 22, 2023

Prioritizing prognostic-associated subpopulations and individualized recurrence risk signatures from single-cell transcriptomes of colorectal cancer

Mengsha Tong, Yuxiang Lin, Wenxian Yang…·Rongshan Yu

The paper identifies prognostic-associated subpopulations and develops recurrence risk signatures from scRNA-seq data of colorectal cancer using a rank-based framework.

8 citations

humanscRNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 3, 2022

Integrated analysis of single-cell transcriptome of liver cancer and cirrhosis reveals cell lineage similarity and prognostic-associated subpopulations

Mengsha Tong, Shijie Luo, Lin Gu…·Jialiang Huang

The paper integrates single-cell transcriptome data from liver samples to identify cell lineage similarities and prognostic subpopulations between cirrhosis and liver cancer.

DOI 10.1101/2022.11.03.515124

humanscRNA-seq

𝕏 PostBluesky