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Fig. 1 | BioData Mining

Fig. 1

From: Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient

Fig. 1

An abstracted schematic of the proposed framework. Expert-curated databases like Gene Ontology (GO) and the Library of Integrated Network-Based Cellular Signatures (LINCS) can provide some general knowledge about biological activity. High-throughput single-cell sequencing assays can provide specific knowledge for an individual patient. Random walk with restart (RWR) can combine these heterogeneous data sources to provide specific knowledge about biological activity for an individual patient. This framework allows us to predict how any gene will respond to any drug for any patient

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BioData Mining

ISSN: 1756-0381