beatAML: beatAML
In NIMAA: Nominal Data Mining Analysis
beatAML R Documentation
beatAML
Description
The Beat AML program produced a comprehensive dataset on acute myeloid leukemia (AML) that included genomic data (i.e., whole-exome sequencing and RNA sequencing), ex vivo drug response, and clinical data. We have included only the drug response data from this program in this package.
Usage
beatAML
Format
A tibble with three variables:
inhibitornames of inhibitors
patient_idanonymous patient ID
medianthe median of drug response at corresponding inhibitor and patient_id
Source
Tyner, Jeffrey W., et al.(2018), Functional Genomic Landscape of Acute Myeloid Leukaemia. Nature 562 (7728): 526–31. http://vizome.org/aml/
NIMAA documentation built on April 11, 2022, 5:05 p.m.
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| beatAML | R Documentation |
beatAML
Description
The Beat AML program produced a comprehensive dataset on acute myeloid leukemia (AML) that included genomic data (i.e., whole-exome sequencing and RNA sequencing), ex vivo drug response, and clinical data. We have included only the drug response data from this program in this package.
Usage
beatAML
Format
A tibble with three variables:
inhibitornames of inhibitors
patient_idanonymous patient ID
medianthe median of drug response at corresponding
inhibitorandpatient_id
Source
Tyner, Jeffrey W., et al.(2018), Functional Genomic Landscape of Acute Myeloid Leukaemia. Nature 562 (7728): 526–31. http://vizome.org/aml/
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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