AUTOMATIC ANALYZER OF MULTIDIMENSIONAL CYTOMETRY DATA
Systems, methods, and computer readable storage mediums for performing multidimensional cytometry data analysis are described. The method includes filtering multidimensional cytometry data, based on a signal strength within each dimension of the plurality of dimensions, to select representative dime...
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| creator | Hilliard, Seth Michael Mosoyan, Karen Rodin, Andrei |
| description | Systems, methods, and computer readable storage mediums for performing multidimensional cytometry data analysis are described. The method includes filtering multidimensional cytometry data, based on a signal strength within each dimension of the plurality of dimensions, to select representative dimensions from the plurality of dimension, selecting an initial region within the representative dimensions of the multidimensional cytometry data. The initial region can include a bin with a maximum significance level. A significant region of the representative dimensions, presenting a response different from a reference response, can be determined by expanding the initial region to regions with a set significance. A display including the significant region of the representative dimensions of the multidimensional cytometry data can be generated. |
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The method includes filtering multidimensional cytometry data, based on a signal strength within each dimension of the plurality of dimensions, to select representative dimensions from the plurality of dimension, selecting an initial region within the representative dimensions of the multidimensional cytometry data. The initial region can include a bin with a maximum significance level. A significant region of the representative dimensions, presenting a response different from a reference response, can be determined by expanding the initial region to regions with a set significance. 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The method includes filtering multidimensional cytometry data, based on a signal strength within each dimension of the plurality of dimensions, to select representative dimensions from the plurality of dimension, selecting an initial region within the representative dimensions of the multidimensional cytometry data. The initial region can include a bin with a maximum significance level. A significant region of the representative dimensions, presenting a response different from a reference response, can be determined by expanding the initial region to regions with a set significance. A display including the significant region of the representative dimensions of the multidimensional cytometry data can be generated.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | AUTOMATIC ANALYZER OF MULTIDIMENSIONAL CYTOMETRY DATA |
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