Author

Yi-Chen Chih

Arc Research Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Research Focus:perturbation response prediction· 1 Assay:scRNA-seq· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Abhinav AdduriiD· 1 shared Alexander DobiniD· 1 shared Chiara Ricci-TamiD· 1 shared Christopher Carpenter· 1 shared Courtney KernickiD· 1 shared Dave P. Burke· 1 shared Dhruv Gautam· 1 shared Lujing Wu· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

Abhinav AdduriORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Stack: In-Context Learning of Single-Cell Biology

Mingze Dong, Abhinav Adduri, Dhruv Gautam, Lujing Wu, Courtney Kernick, Mary Margaret Coons, Yi-Chen Chih, Christopher Carpenter, Rohan M. Shah, Chiara Ricci-Tam, Po‐Yuan Tung, Nianzhen Li, Alexander Dobin, Yuval Kluger, Dave P. Burke, , Yusuf Roohani

SO_SCPLOWTACKC_SCPLOW is a foundation model trained on human single-cell data that enables in-context learning for predicting perturbation effects without fine-tuning.

bioRxiv · Jun 8, 2026 · PreprintBioinformatics