Author

C. Fannjiang

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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Animal Behavior & Cognition· 1 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

A. Busia· 1 shared A. Carneiro· 1 shared D. H. Brookes· 1 shared D. Mann· 1 shared D. Shin· 1 shared D. V. Schaffer· 1 shared D. ZHU· 1 shared E. F. Chang· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioengineering

A. Busia

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2 papers

Recent·Most cited

Optimal trade-off control in machine learning-based library design, with application to adeno-associated virus (AAV) for gene therapy

D. ZHU, D. H. Brookes, A. Busia, A. Carneiro, C. Fannjiang, G. Popova, D. Shin, E. F. Chang, T. J. Nowakowski, J. Listgarten, D. V. Schaffer

This paper develops a machine learning method to design more effective AAV libraries with better packaging capabilities and diversity, achieving higher success rates in gene therapy applications.

bioRxiv · Nov 2, 2021Bioengineering

Augmenting biologging with supervised machine learning to study in situ behavior of the medusa Chrysaora fuscescens

C. Fannjiang, T. A. Mooney, S. Cones, D. Mann, K. A. Shorter, K. Katija

The paper uses biologging and supervised machine learning to study in situ behavior of jellyfish, identifying tag data corruption and classifying behaviors for long-term activity analysis.

bioRxiv · Jun 3, 2019Animal Behavior & Cognition