Author

Gloria Li

University of Macau

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 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:deep learning· 2 Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Juntao Tony GaoiD· 2 shared Simon James FongiD· 2 shared Xian-Xian Liu· 2 shared Adam Christian NajiD· 1 shared Agustı́n RuiziD· 1 shared Alexander GuðjónssoniD· 1 shared Aniket MishraiD· 1 shared Bendik Slagsvold WinsvoldiD· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Juntao Tony GaoORCID

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Author profile →

3 papers

Recent·Most cited

A meta-analysis of genome-wide association studies identifies new genetic loci associated with all-cause and vascular dementia

Bernard Fongang, Muralidharan Sargurupremraj, Xueqiu Jian, Aniket Mishra, Vincent Damotte, Joshua C. Bis, Fan Kang-Hsien, Gloria Li, Jingyun Yang, Saima Hilal, Maria J. Knol, Maria Pina Concas, Girotto Giorgia, Moeen Riaz, Alexander Guðjónsson, , Sudha S. Seshadri

This study performs a meta-analysis of GWAS to identify new genetic loci associated with all-cause and vascular dementia, revealing shared and distinct risk factors.

bioRxiv · Oct 11, 2022 · PreprintGenetics

A Deep Learning Approach for NeoAG-Specific Prediction Considering Both HLA-Peptide Binding and Immunogenicity: Finding Neoantigens to Making T-Cell Products More Personal

Xian-Xian Liu, Gloria Li, Wei Luo, Juntao Tony Gao, Simon James Fong

This paper introduces a deep learning model to predict neoantigens by integrating HLA-peptide binding and immunogenicity, achieving better performance than existing methods.

bioRxiv · Dec 22, 2021 · PreprintBioinformatics

Fast Medical Image Auto-segmentation for Bleeding Gastric Tissue Detection based on Deep DuS-KFCM Clustering

Xian-Xian Liu, Gloria Li, Wei Luo, Juntao Tony Gao, Simon James Fong

This paper presents a hybrid neuro-fuzzy system for automated gastric bleeding lesion segmentation in endoscopy images, achieving high accuracy and robustness against noise.

bioRxiv · Dec 22, 2021 · PreprintBioinformatics