Author

Rui Nie

Chinese Academy of SciencesORCID 0000-0002-5386-5820Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Rui Nie1 paper · Sir Run Run Shaw Hospital

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 3 Research Focus:benchmarking· 2 Approach:deep learning· 2 Research Focus:dimensionality reduction· 2 Research Focus:batch correction / integration· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Research Focus:clustering· 1

Frequent Co-Authors

Jiang ZhangiD· 3 shared Jun CaiiD· 3 shared Lifei WangiD· 3 shared Zhang ZhangiD· 2 shared Anqi WangiD· 1 shared Anqi WangiD· 1 shared Caihong ZhengiD· 1 shared Hanwen ZhangiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersBioinformatics

Jiang ZhangORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 13, 2023

InClust+: the multimodal version of inClust for multimodal data integration, imputation, and cross modal generation

Lifei Wang, Rui Nie, Yankai Cai…·Jun Cai

InClust+ extends the inClust framework to handle multimodal data integration, imputation, and cross-modal generation, showing performance comparable to existing tools.

DOI 10.1101/2023.03.13.532376

scRNA-seqscATAC-seq

BioinformaticsbioRxivPreprintMay 27, 2022

inClust: a general framework for clustering that integrates data from multiple sources

Lifei Wang, Rui Nie, Zhang Zhang…·Jun Cai

inClust is a clustering framework that integrates multi-source data using variational autoencoder and vector arithmetic, performing well in various clustering tasks.

1 citation

scRNA-seqvariational autoencoder

BioinformaticsNature Machine IntelligencePeer-reviewedNov 2, 2020

scCapsNet: a deep learning classifier with the capability of interpretable feature extraction, applicable for single cell RNA data analysis

Lifei Wang, Rui Nie, Zeyang Yu…·Jun Cai

scCapsNet is a deep learning model for single-cell RNA data analysis that provides interpretable feature extraction and accurate cell type classification.

62 citations

scRNA-seqdeep learning