Author

Yuanyuan Li

Stanford MedicineORCID 0000-0002-6959-4682Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Yuanyuan Li4 papers · China Agricultural University

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell-cell communication· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Assay:imaging· 1

Frequent Co-Authors

Irene LiiD· 2 shared Sylvia K. PlevritisiD· 2 shared Aaron E. ChiouiD· 1 shared Alice YuiD· 1 shared Andrew J. GentlesiD· 1 shared Christina S. KongiD· 1 shared Christine Y. YehiD· 1 shared Edgar G. EnglemaniD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Irene LiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Reconstructing co-dependent cellular crosstalk in lung adenocarcinoma using REMI

Alice Yu, Yuanyuan Li, Irene Li, Michael G. Ozawa, Christine Y. Yeh, Aaron E. Chiou, Winston Trope, Jonathan Taylor, Joseph B. Shrager, Sylvia K. Plevritis

The paper introduces REMI, a graph-based method to reconstruct cell-cell interactions in lung adenocarcinoma by accounting for ligand-receptor dependencies, and validates its findings experimentally.

Science Advances · Mar 18, 2022Peer-reviewedBioinformatics

Identification of cell types in multiplexed in situ images by combining protein expression and spatial information using CELESTA reveals novel spatial biology

Weiruo Zhang, Irene Li, Nathan Edward Reticker-Flynn, Zinaida Good, Serena Chang, Nikolay Samusik, Saumyaa Saumyaa, Yuanyuan Li, Xin Zhou, Rachel Liang, Christina S. Kong, Quynh‐Thu Le, Andrew J. Gentles, John B. Sunwoo, Garry P. Nolan, , Sylvia K. Plevritis

CELESTA identifies cell types in multiplexed in situ images by integrating protein expression and spatial information, revealing novel spatial biology associated with lymph node metastasis.

bioRxiv · Feb 2, 2022 · PreprintBioinformatics