Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient
Background: The last decade has seen a major increase in the availability of genomic data. This includes expert-curated databases that describe the biological activity of genes, as well as high-throughput assays that measure gene expression in bulk tissue and single cells. Integrating these heteroge...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BioMed Central Ltd
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |