Author

Xiaoqiong Xia

Fudan UniversityORCID 0000-0002-8104-0340Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:proteomics· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

César de la Fuente‐NúñeziD· 1 shared Chenyu Dong· 1 shared Gang LiuiD· 1 shared Lei LiuiD· 1 shared Marcelo D. T. TorresiD· 1 shared Qiqing Fu· 1 shared Yunhe LiuiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 11 mutual co-author links

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1 shared paperMicrobiology

César de la Fuente‐NúñezORCID

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2 papers

Recent·Most cited

MicrobiologybioRxivPreprintMar 17, 2025

Proteasome-derived antimicrobial peptides discovered via deep learning

Xiaoqiong Xia, Marcelo D. T. Torres, César de la Fuente‐Núñez

The paper uses deep learning to identify novel antimicrobial peptides from proteasomal cleavage products, finding 21 sequence-diverse peptides with potential therapeutic applications against drug-resistant pathogens.

7 citations

humanproteomics

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BioinformaticsbioRxivPreprintSep 12, 2022

Optimization and redevelopment of single-cell data analysis workflow based on deep generative models

Yunhe Liu, Qiqing Fu, Chenyu Dong…·Lei Liu

The paper improves scRNA-seq analysis by using deep generative models to identify and remove noise cells, enhancing clustering and gene analysis consistency.

DOI 10.1101/2022.09.12.507562

scRNA-seqdeep learning

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