Author

Gang Liu

Fudan UniversityORCID 0000-0003-2615-131XUnclaimed ORCID profile · follow to get notified of new preprints

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Gang Liu6 papers · Tsinghua University

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:differential expression· 2 Research Focus:clustering· 1 Approach:contrastive learning· 1 Research Focus:gene regulatory network inference· 1 Assay:long-read sequencing· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Lei LiuiD· 2 shared Qiqing Fu· 2 shared Yunhe LiuiD· 2 shared Chaoyu Zhu· 1 shared Chenyu Dong· 1 shared Xiaoqiong XiaiD· 1 shared Xueqing PengiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 17 mutual co-author links

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2 shared papersBioinformatics

Lei LiuORCID

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2 papers

Recent·Most cited

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

𝕏 PostBluesky

GenomicsGenesPeer-reviewedDec 19, 2021

Attention-based deep multiple instances learning for classifying circular RNA and other long non-coding RNA

Yunhe Liu, Qiqing Fu, Xueqing Peng…·Lei Liu

The paper introduces an attention-based deep multiple instance learning model for circRNA identification from lncRNA, showing improved performance and identifying key sequence motifs.

7 citations

long-read sequencingdeep learning

𝕏 PostBluesky