Abstract
Recent Bioinformatics Advances in the Analysis of High Throughput Flow Cytometry Data
Highlights
The rapid expansion of flow cytometry (FCM) applications has outpaced the development of tools for storage, analysis, and data representation
For more than 30 years, the fluorescence-based technique of flow cytometry (FCM) has been widely used by clinicians, immunologists, and cancer biologists to distinguish different cell types in mixed cell subpopulations, based on the expression of cellular markers. In both health research and treatment, this analytical method is used for a variety of tasks, in particular the diagnosis and monitoring of cancer
The rapid expansion of FCM applications has outpaced the development of tools for storage, analysis, and data representation
Summary
The rapid expansion of FCM applications has outpaced the development of tools for storage, analysis, and data representation. Recent Bioinformatics Advances in the Analysis of High Throughput Flow Cytometry Data For more than 30 years, the fluorescence-based technique of flow cytometry (FCM) has been widely used by clinicians, immunologists, and cancer biologists to distinguish different cell types in mixed cell subpopulations, based on the expression of cellular markers.
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