Patent application number | Description | Published |
20120269418 | ANALYZING THE EXPRESSION OF BIOMARKERS IN CELLS WITH CLUSTERS - 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. | 10-25-2012 |
20120269419 | ANALYZING THE EXPRESSION OF BIOMARKERS IN CELLS WITH MOMENTS - A stored data set comprises cell profile data including multiplexed biometric image data describing the expression of biomarkers. The data set includes an association of the cell profile data with a field of view level or a patient-level assessment. Cell features are calculated based on the cell's expression of each of the biomarkers. Moments of cell features are calculated from the data set, and combinations are examined for an association with an assessment. A predictive set of moments is selected based on the performance of the combination. | 10-25-2012 |
20120270752 | ANALYZING THE EXPRESSION OF BIOMARKERS IN CELLS WITH MOMENTS - 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. | 10-25-2012 |
20120271553 | ANALYZING THE EXPRESSION OF BIOMARKERS IN CELLS WITH CLUSTERS - 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. | 10-25-2012 |
20130170728 | PROCESS AND SYSTEM FOR ANALYZING THE EXPRESSION OF BIOMARKERS IN A CELL - The invention relates generally to a process of analyzing and visualizing the expression of biomarkers in an individual cell wherein the cell is examined to develop patterns of expression by using a grouping algorithm, and a system to perform and display the analysis. | 07-04-2013 |
20130290006 | SYSTEMS AND METHODS FOR PERFORMING CORRELATION ANALYSIS ON CLINICAL OUTCOME AND CHARACTERISTICS OF BIOLOGICAL TISSUE - 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. | 10-31-2013 |
20140003702 | DETERMINATION OF SPATIAL PROXIMITY BETWEEN FEATURES OF INTEREST IN BIOLOGICAL TISSUE | 01-02-2014 |
20150345476 | SYSTEMS AND METHODS FOR WIND TURBINE NACELLE-POSITION RECALIBRATION AND WIND DIRECTION ESTIMATION - A computer-implemented method for recalibrating nacelle-positions of a plurality of wind turbines in a wind park is implemented by a nacelle calibration computing device including a processor and a memory device coupled to the processor. The method includes identifying at least two associated wind turbines included within the wind park wherein each associated wind turbine includes location information, determining a plurality of predicted wake features for the associated wind turbines based at least partially on the location information of each associated wind turbine, retrieving a plurality of historical performance data related to the associated wind turbines, determining a plurality of current wake features based on the plurality of historical performance data, identifying a variance between the predicted wake features and the current wake features, and determining a recalibration factor for at least one of the associated wind turbines based on the identified variance. | 12-03-2015 |