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ASGARD is A Single-cell Guided Pipeline to Aid Repurposing of Drugs
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AbstractSingle-cell RNA sequencing technology has enabled in-depth analysis of intercellular heterogeneity in various diseases. However, its full potential for precision medicine has yet to be reached. Towards this, we propose A Single-cell Guided Pipeline to Aid Repurposing of Drugs (ASGARD) that defines a drug score to recommend drugs by considering all cell clusters to address the intercellular heterogeneity within each patient. ASGARD shows significantly better average accuracy on single-drug therapy compared to two bulk-cell-based drug repurposing methods. We also demonstrated that it performs considerably better than other cell cluster-level predicting methods. In addition, we validate ASGARD using the drug response prediction method TRANSACT with Triple-Negative-Breast-Cancer patient samples. We find that many top-ranked drugs are either approved by the Food and Drug Administration or in clinical trials treating corresponding diseases. In conclusion, ASGARD is a promising drug repurposing recommendation tool guided by single-cell RNA-seq for personalized medicine. ASGARD is free for educational use at https://github.com/lanagarmire/ASGARD.
Springer Science and Business Media LLC
Title: ASGARD is A Single-cell Guided Pipeline to Aid Repurposing of Drugs
Description:
AbstractSingle-cell RNA sequencing technology has enabled in-depth analysis of intercellular heterogeneity in various diseases.
However, its full potential for precision medicine has yet to be reached.
Towards this, we propose A Single-cell Guided Pipeline to Aid Repurposing of Drugs (ASGARD) that defines a drug score to recommend drugs by considering all cell clusters to address the intercellular heterogeneity within each patient.
ASGARD shows significantly better average accuracy on single-drug therapy compared to two bulk-cell-based drug repurposing methods.
We also demonstrated that it performs considerably better than other cell cluster-level predicting methods.
In addition, we validate ASGARD using the drug response prediction method TRANSACT with Triple-Negative-Breast-Cancer patient samples.
We find that many top-ranked drugs are either approved by the Food and Drug Administration or in clinical trials treating corresponding diseases.
In conclusion, ASGARD is a promising drug repurposing recommendation tool guided by single-cell RNA-seq for personalized medicine.
ASGARD is free for educational use at https://github.
com/lanagarmire/ASGARD.
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