Deep active learning-based experimental design to uncover synergistic genetic interactions for host-targeted therapeutics.

Zhu H, Silva M, Cadena J, Soper B, Lisicki M, Peetoom B, Baranzini SE, Sundaram S, Ray P, Drocco J

DOI: 10.1093/bioadv/vbaf228
Published: 2026
Container: Bioinformatics advances
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bioadv/vbaf228,
  title = {Deep active learning-based experimental design to uncover synergistic genetic interactions for host-targeted therapeutics.},
  author = {Zhu H and Silva M and Cadena J and Soper B and Lisicki M and Peetoom B and Baranzini SE and Sundaram S and Ray P and Drocco J},
  year = {2026},
  journal = {Bioinformatics advances},
  doi = {10.1093/bioadv/vbaf228},
  url = {https://doi.org/10.1093/bioadv/vbaf228}
}

RIS

TY  - JOUR
TI  - Deep active learning-based experimental design to uncover synergistic genetic interactions for host-targeted therapeutics.
AU  - Zhu H
AU  - Silva M
AU  - Cadena J
AU  - Soper B
AU  - Lisicki M
AU  - Peetoom B
AU  - Baranzini SE
AU  - Sundaram S
AU  - Ray P
AU  - Drocco J
PY  - 2026
JO  - Bioinformatics advances
DO  - 10.1093/bioadv/vbaf228
UR  - https://doi.org/10.1093/bioadv/vbaf228
ER  -

APA

H, Z., M, S., J, C., B, S., M, L., B, P., SE, B., S, S., P, R., & J, D. (2026). Deep active learning-based experimental design to uncover synergistic genetic interactions for host-targeted therapeutics.. Bioinformatics advances. https://doi.org/10.1093/bioadv/vbaf228

Source records

pubmed · retrieved 2026-09-25T23:37:03.665Z