bioRxivBioinformaticsPreprint
Vaxrank: A Computational Tool For Designing Personalized Cancer Vaccines
Alex RubinsteyniD, Isaac HodesiD, Julia KodyshiD, Jeff HammerbacheriD
Abstract
Therapeutic vaccines targeting mutant tumor antigens (\"neoantigens\") are an increasingly popular form of personalized cancer immunotherapy. Vaxrank is a computational tool for selecting neoantigen vaccine peptides from tumor mutations, tumor RNA data, and patient HLA type. Vaxrank is freely available at www.github.com/openvax/vaxrank under the Apache 2.0 open source license and can also be installed from the Python Package Index.
- organism: human
- assay: bulk RNA-seq
- research focus: drug response / drug discovery
- approach: machine learning (classical)
- Citations
- 37
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