VCCV: conservative transcriptomic corroboration for measurement prioritization of computational drug-target hypotheses.

Huang H, Zhou Y, Kang D, Liang Y

DOI: 10.1093/bioinformatics/btag694
Published: 2026 Sep 18
Container: Bioinformatics (Oxford, England)
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/bioinformatics/btag694,
  title = {VCCV: conservative transcriptomic corroboration for measurement prioritization of computational drug-target hypotheses.},
  author = {Huang H and Zhou Y and Kang D and Liang Y},
  year = {2026},
  journal = {Bioinformatics (Oxford, England)},
  doi = {10.1093/bioinformatics/btag694},
  url = {https://doi.org/10.1093/bioinformatics/btag694}
}

RIS

TY  - JOUR
TI  - VCCV: conservative transcriptomic corroboration for measurement prioritization of computational drug-target hypotheses.
AU  - Huang H
AU  - Zhou Y
AU  - Kang D
AU  - Liang Y
PY  - 2026
JO  - Bioinformatics (Oxford, England)
DO  - 10.1093/bioinformatics/btag694
UR  - https://doi.org/10.1093/bioinformatics/btag694
ER  -

APA

H, H., Y, Z., D, K., & Y, L. (2026). VCCV: conservative transcriptomic corroboration for measurement prioritization of computational drug-target hypotheses.. Bioinformatics (Oxford, England). https://doi.org/10.1093/bioinformatics/btag694

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pubmed · retrieved 2026-09-24T21:21:30.333Z