Author

Meijian Guan

Genmab (United States)ORCID 0000-0002-8423-6533Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Ali Moshrefi· 1 shared Ana Granat· 1 shared Anantharaman MuthuswamyiD· 1 shared Andreas SchereriD· 1 shared Aparna Natarajan· 1 shared Arati RaziuddiniD· 1 shared Ashley Walton· 1 shared Baitang NingiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 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

1 shared paperGenomics

Ali Moshrefi

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Comparative Analysis of Pathology Foundation Models for Automated Detection of Tertiary Lymphoid Structures in H&E-Stained Digital Pathology Images

Meijian Guan, Yu Sun, Merzu Kebede Belete, Anantharaman Muthuswamy, Maximilian Farma, Jenny Kaufmann, Mirna Lechpammer, Sriram Sridhar, Brandon W. Higgs, Han Si

This study evaluates pathology foundation models for detecting tertiary lymphoid structures in cancer tissues, finding strong performance in PDAC but challenges in HNSCC due to tumor heterogeneity.

Computational and Structural Biotechnology Journal · Mar 1, 2026Peer-reviewedBioinformatics

Achieving reproducibility and accuracy in cancer mutation detection with whole-genome and whole-exome sequencing

Wenming Xiao, Luyao Ren, Zhong Chen, Li Tai Fang, Yongmei Zhao, Justin Lack, Meijian Guan, Bin Zhu, Erich B. Jaeger, Liz Kerrigan, Thomas M. Blomquist, Tiffany Hung, Marc Sultan, Kenneth B. Idler, Charles Lu, , Leming M. Shi

This study evaluates reproducibility and accuracy of cancer mutation detection using whole-genome and whole-exome sequencing across multiple sequencing centers and bioinformatics pipelines.

Nature Biotechnology · Sep 1, 2021Peer-reviewedGenomics