Author

Maiqi Zhang

San Jose State University

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

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Chris PollettiD· 1 shared Minjun Roe· 1 shared William AndreopoulosiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Chris PollettORCID

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1 paper

Recent·Most cited

Autonomous Spatial Transcriptomics Analysis (ASTA): Demonstrating Performance Improvements through Clustering, Biological Annotation, and AI-Driven Discovery

Maiqi Zhang, Minjun Roe, Chris Pollett, William Andreopoulos

ASTA improves spatial transcriptomics analysis through clustering, annotation, and AI-driven hypothesis generation, achieving significant performance gains and biological insights.

bioRxiv · Aug 18, 2026 · PreprintBioinformatics