Author

Chris Pollett

San Jose State UniversityORCID 0000-0002-3546-1654Unclaimed 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

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

Maiqi Zhang· 1 shared Minjun Roe· 1 shared William AndreopoulosiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 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 paperBioinformatics

Maiqi Zhang

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintAug 18, 2026

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.

DOI 10.64898/2026.08.10.743848

humanspatial transcriptomics