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In silico cell-type deconvolution methods in cancer immunotherapy
Gregor Sturm
, Francesca Finotello
,
Markus List
Assistant Professorship of Data Science in Systems Biology
Medical University Innsbruck
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
›
peer-review
4
Scopus citations
Overview
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Dive into the research topics of 'In silico cell-type deconvolution methods in cancer immunotherapy'. Together they form a unique fingerprint.
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Keyphrases
In Silico
100%
In Cancer
100%
Cancer Immunotherapy
100%
Immune System
100%
Immuno-oncology
100%
Cellular Deconvolution
100%
Deconvolution Method
100%
Tumor
50%
Biopsy Specimen
50%
Computational Methods
50%
Tumor Biopsy
50%
Working Principle
50%
Method Selection
50%
Tumor Microenvironment
50%
RNA-seq Data
50%
Bulk RNA-seq
50%
Cellular Composition
50%
Medicine and Dentistry
In Silico
100%
Immunoglobulin
100%
Cancer Immunotherapy
100%
Oncology
100%
Immune System
100%
Neoplasm
50%
Tumor Biopsy
50%
Biopsy Sample
50%
Tumor Microenvironment
50%
RNA Sequencing
50%
Immunology and Microbiology
Intravenous Immunoglobulin
100%
Cancer Immunotherapy
100%
Immune System
100%
RNA Sequencing
50%
Biochemistry, Genetics and Molecular Biology
Cancer Immunotherapy
100%
Intravenous Immunoglobulin
100%
Bulk RNA Sequencing
50%