Author

D. H. Brookes

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

Bioengineering· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Busia· 1 shared A. Carneiro· 1 shared C. Fannjiang· 1 shared D. Shin· 1 shared D. V. Schaffer· 1 shared D. ZHU· 1 shared E. F. Chang· 1 shared G. Popova· 1 shared

Activity by Year

2021-2021 · 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 paperBioengineering

A. Busia

Mutual co-authors in cluster

Author profile →

1 paper

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