摘要:
Cell profile data is stored. The cell profile data comprises multiplexed biometric images capturing the expression of a plurality of biomarkers by at least one tissue sample from a patient with respect to at least one field of view. Individual cells are delineated and segmented into compartments. At least one cell feature is calculated based on the cell's expression of each of a plurality of biomarkers. A first moment is calculated for each cell feature. The moments are examined for an association with a diagnosis, a prognosis of a response to treatment of a condition or disease. Apparatus for performing the foregoing steps are disclosed.
摘要:
A data set of cell profile data is stored. The cell profile data includes multiplexed biometric image data describing the expression of a plurality of biomarkers with respect to a field of view in which individual cells are delineated and segmenting into compartments. Each cell in the field is assigned to a single cluster in a selected set of clusters based on cell similarity; cell similarity is determined based on a plurality of selected cell attributes. The proportion of cells in each cluster is observed. The observed proportions are examined for an association with a diagnosis, a prognosis, or a response derived from a known association of the selected set of clusters with at least one piece of meta-information including a field of view level assessment or a patient-level assessment.
摘要:
Embodiments disclosed herein include methods, systems, and devices for determining a positive or negative correlation between a clinical outcome and one or more features of biological tissue. An exemplary user interface enables a user to select a clinical outcome and one or more aspects of a displayed field-of-view of biological tissue. Exemplary embodiments may automatically perform correlation analysis between the selected clinical outcome and one or more features characteristic of the user-selected aspects of the field-of-view of biological tissue. For example, exemplary embodiments may automatically perform correlation analysis between the selected clinical outcome and one or more features characteristic of one or more biological units in the biological tissue.
摘要:
A data set of cell profile data is stored. The cell profile data includes multiplexed biometric image data describing the expression of a plurality of biomarkers. Cell profile data is generated from tissue samples drawn from a cohort of patients having an assessment related to the commonality. Multiple sets of clusters of similar cells are generated from the data set; the proportion of cells in each cluster is examined for an association with a diagnosis, a prognosis, or a response; and a predictive set of clusters is selected based on model performance. One predictive set of clusters is selected based on a comparison of the performance of at least one model of the plurality of sets of clusters. Display techniques that aid in understanding the characteristics of a cluster are disclosed.
摘要:
A control system for use with a plurality of wind turbines includes a processor and a memory device coupled to the processor. The memory device is configured to store a plurality of program modules that, when executed by the processor, configure the processor to receive data representative of a power generation of a first wind turbine of the plurality of wind turbines, and determine an expected power generation of a second wind turbine of the plurality of wind turbines based on the power generation of the first wind turbine.
摘要:
Exemplary embodiments enable determination of spatial proximity between two or more features in biological tissue. An exemplary method includes identifying a morphological feature in an image of the biological tissue based on expression levels of a first biomarker indicative of the morphological feature, and receiving a result of a segmentation analysis performed on the image of the biological tissue identifying a set of morphological units in the image external to the morphological feature. An exemplary method includes determining an expression level of a second biomarker corresponding to each unit in the set of morphological units in the image of the biological tissue, and determining a spatial distance between the morphological feature and each unit in the set of morphological units. An exemplary method further includes automatically determining a relationship between expression levels of the second biomarker and corresponding spatial distance from the morphological feature of the set of morphological units.
摘要:
A control system for use with a plurality of wind turbines includes a processor and a memory device coupled to the processor. The memory device is configured to store a plurality of program modules that, when executed by the processor, configure the processor to receive data representative of a power generation of a first wind turbine of the plurality of wind turbines, and determine an expected power generation of a second wind turbine of the plurality of wind turbines based on the power generation of the first wind turbine.
摘要:
The present disclosure relates to an approach by which low-performing turbines may be identified from among a plurality of wind turbines, such as may be present at a wind power plant. In accordance with one embodiment, low-performing turbines are identified from among pairs of turbines and based upon a comparison of the observed and expected performance of the turbines within each pair.
摘要:
Exemplary embodiments enable determination of spatial proximity between two or more features in biological tissue. An exemplary method includes identifying a morphological feature in an image of the biological tissue based on expression levels of a first biomarker indicative of the morphological feature, and receiving a result of a segmentation analysis performed on the image of the biological tissue identifying a set of morphological units in the image external to the morphological feature. An exemplary method includes determining an expression level of a second biomarker corresponding to each unit in the set of morphological units in the image of the biological tissue, and determining a spatial distance between the morphological feature and each unit in the set of morphological units. An exemplary method further includes automatically determining a relationship between expression levels of the second biomarker and corresponding spatial distance from the morphological feature of the set of morphological units.
摘要:
Transactional risk and return analysis systems provided herein include a transaction database and a market database. The transaction database includes data regarding transactions with associated attributes and the market database includes market data. A portfolio model uses such data to estimate a risk prediction for each transaction. A risk prediction model is generated based on the portfolio model and estimates a risk prediction for a prospective transaction, and a case cash flow analyzer produces a risk-breakeven spread. A transaction evaluator uses the risk prediction model and the risk-breakeven spread to calculated transaction risk and return data for a prospective transaction.