Author

Shah Roshan

University of Science and Technology Beijing

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· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Organism:mouse· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Cencan XingiD· 1 shared Hongwu DuiD· 1 shared Lei HuiD· 1 shared Yuanyan XiongiD· 1 shared Zehua ZengiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Cencan XingORCID

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1 paper

Recent·Most cited

Identify the origin and end cells and infer the trajectory of cellular fate automatically

Zehua Zeng, Cencan Xing, Lei Hu, Shah Roshan, Yuanyan Xiong, Hongwu Du

This paper introduces scLTNN, a method for automatically inferring origin and end cell states and developmental trajectories from scRNA-seq data with low computational cost.

bioRxiv · Sep 28, 2022 · PreprintBioinformatics