Author

Mingyan Fang

BGI ResearchORCID 0000-0001-7185-6445Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:deep learning· 2 Organism:human· 2 Approach:transformer / foundation model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Andrei SmolnikoviD· 2 shared Emily C. OatesiD· 2 shared Fatemeh VafaeeiD· 2 shared Marcel E. DingeriD· 2 shared Zheng SuiD· 2 shared

Activity by Year

2024-2024 · peak 2/yr

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5 top collaborators · 10 mutual co-author links

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2 shared papersBioinformatics

Andrei SmolnikovORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 1, 2024

Genes in Humans and Mice: Insights from Deep learning of 777K Bulk Transcriptomes

Zheng Su, Mingyan Fang, Andrei Smolnikov…·Emily C. Oates

This study uses deep learning to compare human and mouse gene expression across 777K bulk RNA-seq samples, identifying genes with differing functional associations between species.

1 citation

humanmouse

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BioinformaticsbioRxivPreprintMar 7, 2024

Multifaceted Representation of Genes via Deep Learning of Gene Expression Networks

Zheng Su, Mingyan Fang, Andrei Smolnikov…·Fatemeh Vafaee

The paper develops GeneRAIN models trained on bulk RNA-seq data to predict gene attributes, showing they capture biological information beyond gene expression and outperform existing models.

1 citation

humanbulk RNA-seq

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