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VUScope: a mathematical model for evaluating image-based drug response measurements and predicting long-term incubation outcomes

Nguyen Khoa Tran et al.

Bioinformatics2026https://doi.org/10.1093/bioinformatics/btaf679article
ABDC A
Weight
0.50

What the paper says

We have made VUScope more accessible to users conducting pharmacological studies by uploading a detailed description, example datasets, and the source code to vuscope.albi.hhu.de, https://github.com/AlBi-HHU/VUScope, and https://doi.org/10.5281/zenodo.17610533.

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https://doi.org/https://doi.org/10.1093/bioinformatics/btaf679

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@article{nguyen2026,
  title        = {{VUScope: a mathematical model for evaluating image-based drug response measurements and predicting long-term incubation outcomes}},
  author       = {Nguyen Khoa Tran et al.},
  journal      = {Bioinformatics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1093/bioinformatics/btaf679},
}

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VUScope: a mathematical model for evaluating image-based drug response measurements and predicting long-term incubation outcomes

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.