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Prediction of anticancer drug sensitivity using an interpretable model guided by deep learning

Research article (BMC Bioinformatics, 2024) · cited 11× · AI/ML
academia openalex:W4396762869
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Prediction of anticancer drug sensitivity using an interpretable model guided by deep learning

Summary

Prediction of anticancer drug sensitivity using an interpretable model guided by deep learning is a scholarly article[1].

Key Facts

  • Prediction of anticancer drug sensitivity using an interpretable model guided by deep learning's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Prediction of anticancer drug sensitivity using an interpretable model guided by deep learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-anticancer-drug-sensitivity-using-an-interpretable-model-guided-by-deep-learning
MLA “Prediction of anticancer drug sensitivity using an interpretable model guided by deep learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-anticancer-drug-sensitivity-using-an-interpretable-model-guided-by-deep-learning.
BibTeX @misc{4ortxyz_prediction-of-anticancer-drug-sensitivity-using-an-interpretable-model-guided-by-deep-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of anticancer drug sensitivity using an interpretable model guided by deep learning}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-anticancer-drug-sensitivity-using-an-interpretable-model-guided-by-deep-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of anticancer drug sensitivity using an interpretable model guided by deep learning — https://4ort.xyz/entity/prediction-of-anticancer-drug-sensitivity-using-an-interpretable-model-guided-by-deep-learning (retrieved 2026-05-24)

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