Author

Yanli Wang

University of MissouriORCID 0000-0002-7576-3235Unclaimed 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· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1 Assay:proteomics· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Akshata HegdeiD· 1 shared Daniel J CarulliiD· 1 shared Frimpong BoaduiD· 1 shared Jianlin ChengiD· 1 shared Ryan M FinnertyiD· 1 shared Sarayut WinuthayanoniD· 1 shared Wipawee WinuthayanoniD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperCell Biology

Akshata HegdeORCID

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1 paper

Recent·Most cited

Multi-omics analyses and machine learning prediction of oviductal responses in the presence of gametes and embryos

Ryan M Finnerty, Daniel J Carulli, Akshata Hegde, Yanli Wang, Frimpong Boadu, Sarayut Winuthayanon, Jianlin Cheng, Wipawee Winuthayanon

The paper uses multi-omics data and machine learning to analyze oviductal responses to gametes and embryos in mice, identifying region-specific transcriptional and proteomic changes.

eLife · Oct 1, 2024Peer-reviewedCell Biology