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- W4295116810 abstract "Motivation: We investigate whether a template-based classification pipeline could be used to identify immunophenotypes in (and thereby classify) a heterogeneous disease with many subtypes. The disease we consider here is Acute Myeloid Leukemia, which is heterogeneous at the morphologic, cytogenetic and molecular levels, with several known subtypes. The prognosis and treatment for AML depends on the subtype. Results: We apply flowMatch, an algorithmic pipeline for flow cytometry data created in earlier work, to compute templates succinctly summarizing classes of AML and healthy samples. We develop a scoring function that accounts for features of the AML data such as heterogeneity to identify immunophenotypes corresponding to various AML subtypes, including APL. All of the AML samples in the test set are classified correctly with high confidence. Availability: flowMatch is available at www.bioconductor.org/packages/devel/bioc/html/flowMatch.html; programs specific to immunophenotyping AML are at www.cs.purdue.edu/homes/aazad/software.html." @default.
- W4295116810 created "2022-09-10" @default.
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- W4295116810 date "2014-03-21" @default.
- W4295116810 modified "2023-09-25" @default.
- W4295116810 title "Immunophenotypes of Acute Myeloid Leukemia From Flow Cytometry Data Using Templates" @default.
- W4295116810 doi "https://doi.org/10.48550/arxiv.1403.6358" @default.
- W4295116810 hasPublicationYear "2014" @default.
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