1211results about "Data visualisation" patented technology

An information management system and method is provided for integrating structured and unstructured data using an ontological approach, and further comprises processes for creating, validating, augmenting, and combining ontologies for life science informatics and other disciplines.

This invention describes computer based virtual models of complex systems, together with integrated systems and methods providing a development and execution framework for visual modeling and dynamic simulation of said models. The virtual models can be used for analysis, monitoring, or control of the operation of the complex systems modeled, as well as for information retrieval. More particularly, the virtual models in the present implementation relate to biological complex systems. In the current implementation the virtual models comprise building blocks representing physical, chemical, or biological processes, the pools of entities that participate in those processes, a hierarchy of compartments representing time-intervals or the spatial and/or functional structure of the complex system in which said entities are located and said processes take place, and the description of the composition of those entities. The building blocks encapsulate in different layers the information, data, and mathematical models that characterize and define each virtual model, and a plurality of methods is associated with their components. The models are built by linking instances of the building blocks in a predefined way, which, when integrated by the methods provided in this invention, result in multidimensional networks of pathways. A number of functions and graphical interfaces can be selected for said instances of building blocks, to extract in various forms the information contained in said models. Those functions include: a) on-the-fly creation of displays of interactive multidimensional networks of pathways, according to user selections; b) dynamic quantitative simulations of selected networks; and c) complex predefined queries based on the relative position of pools of entities in the pathways, the role that the pools play in different processes, the location in selected compartments, and/or the structural components of the entities of those pools. The system integrates inferential control with quantitative and scaled simulation methods, and provides a variety of alternatives to deal with complex dynamic systems and with incomplete and constantly evolving information and data.

Methods, processes, and particularly computer implemented processes and computer program products are provided for use in the analysis of genetic sequence data. The processes and products are employed in the assembly of shorter nucleic acid sequence data into longer linked and preferably contiguous genetic constructs, including large contigs, chromosomes and whole genomes.

The invention discloses a transformer station inspection tour robot positioning navigation system and a method. Confidence obtained by a laser range finding module and a dead reckoning module is outputted to a map creation module and a pose resolving module; the map creation module creates a laser road sign map and a laser grid map which show a robot operation environment and are inputted into a map storage module for storage; the posture resolving module utilizes map data in the map storage module and output data of the dead reckoning module to perform real-time calculation on the current position and the posture of the robot and accesses the obtained posture data into a path planning module and a motion control module; the path planning module generates robot operation path data which is outputted to the motion control module; the motion control module generates motion control quantity according to the current position and posture data of the robot and the path planning data, and then is driven to execute by a motor. The transformer station inspection tour robot positioning navigation system realizes the accuracy positioning of the inspection tour robot in the transformer station.

A system and method for organization and analysis of complex and dynamically interactive time series is disclosed. One example comprises a processor based system for relational analysis of physiologic signals for providing early recognition of catastrophic and pathologic events such as pathophysiologic divergence. The processor is programmed to identify pathophysiologic divergence of at least one of first and second physiologic parameters in relationship to the other and to output an indication of the divergence. An object-based method of iterative relational processing waveform fragments in the time domain is described wherein each more complex waveform object inherits the characteristics of the waveform objects from which it is derived. The first physiologic parameter can be the amplitude and frequency of the variation in chest wall impedance or nasal pressure and the second parameter can be a measure or indication of the arterial oxygen saturation.

A method is described for the reproducible quantification of biomarker expression, including biomarker expression in a tissue sample. Methods and systems are described whereby reproducible scores for biomarker expression are obtained independent of instrument, its location, or operator.

An electro-optical system, apparatus, and method allow long-term, ambulatory measurements to be made on a patient using light transmitted into the patient and resulting light received from the patient.

Disclosed is a computer-implemented method of presenting data which has been automatically extracted from a digital representation of a document to a curator for review, the extracted data comprising annotation entity data concerning one or more instances of entities which have been identified in the digital representation of a document, the annotation entity data comprising data specifying the location of the identified instances of entities within the digital representation of a document, the method comprising the steps of (i) displaying in a first region of a display screen a user selectable portion of the digital representation of a document with said instances of entities which are specified by the annotation entity data as being located within the displayed portion of the digital representation of a document highlighted at the location specified by the annotation entity data; (ii) displaying in a second region of the display screen a list of a plurality of instances of entities which have been identified in the digital representation of a document, at least one of the listed instances of an entity having a user selectable user interface element associated therewith; and (iii) responsive to a user selecting the user selectable user interface element associated with an instance of an entity, adjusting the portion of the digital representation of a document which is displayed in the first region to include the location within the digital representation of a document where the instance of an entity associated with the selected user interface element is located.

The present invention relates to methods for evaluating the probability that a patient's diagnosis may be treated with a particular clinical regimen or therapy.

Methods systems and computer readable media for manipulating and displaying sparse data contained within very large datasets. Particular applications includes those to proteomics and metabolomics. Navigation of the large data sets from a global perspective may be practically implemented, so that a user is not confined to a narrow slice of data at a time, thus providing context of the whole dataset while viewing data within the dataset.

Disclosed herein are methods and systems for classifying cell labels, for example identifying a signal cell label. In some embodiments, the method comprises: obtaining sequencing data of barcoded targets created using targets in cells barcoded using barcodes, wherein a barcode comprises a cell label and a molecular label. After ranking the cell labels, a minimum of a second derivative plot of a cumulative sum plot can be determined. Using the methods, a cell label can be classified as a signal cell label or a noise cell label based on the number of molecular labels with distinct sequences associated with the cell label and a cell label threshold.

An interactive and dynamic data analysis tool that helps interactive analysis in real time on medium size datasets having complex structure is described. In one aspect, the data analysis tool is capable of being configured to act as a data producer tool arranged to provide a data source. The data analysis tool can also be configured as a data consumer tool capable of receiving and processing a particular data source. The data source tool and the data consumer tool are connected together to form a framework that takes the form of a data mapping context that mediates the data provided by the data source and a particular data role.

Described invention and its embodiments, in part, facilitate discovery of ‘Most Recent Common Ancestors’ in the family trees between a massive plurality of individuals who have been predicted to be related according to amount of deoxyribonucleic acids (DNA) shared as determined from a plurality of 3rd party genome sequencing and matching systems. This facilitation is enabled through a holistic set of distributed software Agents running, in part, a plurality of cooperating Machine Learning systems, such as smart evolutionary algorithms, custom classification algorithms, cluster analysis and geo-temporal proximity analysis, which in part, enable and rely on a system of Knowledge Management applied to manually input and data-mined evidences and hierarchical clusters, quality metrics, fuzzy logic constraints and Bayesian network inspired inference sharing spanning across and between all data available on personal family trees or system created virtual trees, and employing all available data regarding the genome-matching results of Users associated to those trees, and all available historical data influencing the subjects in the trees, which are represented in a form of Competitive Learning network. Derivative results of this system include, in part, automated clustering and association of phenotypes to genotypes, automated recreation of ancestor partial genomes from accumulated DNA from triangulations and the traits correlated to that DNA, and a system of cognitive computing based on distributed neural networks with mobile Agents mediating activation according to connection weights.

A method for maintaining consistent unit relationships during graphical pharmacological computational model construction is disclosed. A graphical user interface is presented through which a user may place and connect objects representing pharmacokinetic and pharmacodynamic elements. The user may specify units definitions for variables and constants using unit expressions. As the objects are converted into an internal format representing the statements of the corresponding computational model, the unit expressions are included in this internal format as multidimensional data type information. This multidimensional data type information is regularly and automatically propagated for each statement in the internal format to identify inconsistent units. When such inconsistent units are identified, a warning message is generated to notify the user, substantially immediately after the inconsistent units are created.

Method includes receiving sequencing data including a plurality of sample reads that have corresponding sequences of nucleotides and assigning the sample reads to designated loci. The method also includes analyzing the assigned reads for each designated locus to identify corresponding regions-of-interest (ROIs) within the assigned reads. Each of the ROIs has one or more series of repeat motifs. The method also includes sorting the assigned reads based on the sequences of the ROIs such that the ROIs with different sequences are assigned as different potential alleles. The method also includes analyzing, for designated loci having multiple potential alleles, the sequences of the potential alleles to determine whether a first allele of the potential alleles is suspected stutter product of a second allele of the potential alleles.

A computer research tool is provided for searching and displaying biological data. Specifically, the invention provides a computer research tool for performing computerized research of biological data from various databases and for providing a novel graphical user interface that significantly enhances biological data representation, progressive querying and cross-navigation of windows and databases. The invention can be implemented in numerous ways, including as a system, a device, a method, or a computer readable medium.

A high performance, low-cost, gapped read alignment algorithm is disclosed that produces high quality alignments of a complete human genome in a few minutes. Additionally, the algorithm is more than an order of magnitude faster than previous approaches using a low-cost workstation. The results are obtained via careful algorithm engineering of the seeding based approach. The use of non-hashed seeds in combination with techniques from search engine ranking achieves fast cache-efficient processing. The algorithm can also be efficiently parallelized. Integration into an in-memory database infrastructure (IMDB) leads to low overhead for data management and further analysis.