Abstract: An experiment manager is discussed for the design and execution of numerical experiments in composite simulation models, such as those created using the Smarter Planet Platform for Analysis Simulation of Health (Splash). The experiment manager independently elicits experiment-related information from each contributor of a component model, and uses this information to subsequently assist the creator of a composite model in selecting experimental factors, creating experimental designs based on these factors, and executing the experiments. This functionality permits cross-disciplinary modeling, simulation, sensitivity analysis and optimization in the setting of complex systems.

Abstract: The present invention relates to a method and system for associating gene expression data with a disease name. A first data set associated with a plurality of genetic probes for a plurality of biological samples may be received. The first data set may be sorted based on a normalized gene expression values for the plurality of genetic probes. A largest value gap of the normalized gene expression values may be identified. A set of expressed genes within the first data set may be identified. An indexable document may be generated for a biological sample of the plurality of biological samples comprising data associated with the set of expressed genes. A second data set associated with an expressed gene of the set of expressed genes may be searched. A disease name may be associated with an expressed gene based on a threshold correlation between the disease name and the expressed gene.

Abstract: A method to support ad hoc collaboration and generation of workflows for a team of users may comprise providing data from a provenance graph to launched applications, selectively using the provided data from the provenance graph and additional input to create derived data and derived outputs, and routing the derived data and the derived outputs to the provenance graph; recording, in the provenance graph, subsequences of the launched applications; recommending one of the recorded subsequences, based on the history of execution of the recorded subsequences of the launched applications; creating a new application with the recommended subsequences of the launched applications; launching the newly created application, and storing the newly created application in a catalog of applications for use by the user.

Abstract: The present invention relates to a method and system for associating gene expression data with a disease name. A first data set associated with a plurality of genetic probes for a plurality of biological samples may be received. The first data set may be sorted based on a normalized gene expression values for the plurality of genetic probes. A largest value gap of the normalized gene expression values may be identified. A set of expressed genes within the first data set may be identified. An indexable document may be generated for a biological sample of the plurality of biological samples comprising data associated with the set of expressed genes. A second data set associated with an expressed gene of the set of expressed genes may be searched. A disease name may be associated with an expressed gene based on a threshold correlation between the disease name and the expressed gene.

Abstract: Embodiments of the invention relate to an architectural structure for representing an underlying business and tools to support dynamic adjustment of the structure. A social media metric is created and associated with a business metric of a component represented in the architectural structure, and an impact on the underlying business is identified and measured based upon this association. Accordingly, elements of the structure are parsed and analyzed, and in response to the analysis, the structure is dynamically modified to mitigate receipt of measured negative output data.

Abstract: An aspect of synchronization of time between simulation models includes receiving a specification request for generating a set of target time-series data using a set of source time-series data, obtaining specification information relating to the set of source time-series data, obtaining specification information relating to the set of target time-series data and obtaining the source time-series data; comparing the source specification information and the target specification information to determine if the set of source time-series data are time-aligned with the set of target time-series data, and converting the set of source time-series data to the set of target time-series data upon determination that time alignment is needed.

Abstract: A method to support ad hoc collaboration and generation of workflows for a team of users may comprise providing data from a provenance graph to launched applications, selectively using the provided data from the provenance graph and additional input to create derived data and derived outputs, and routing the derived data and the derived outputs to the provenance graph; recording, in the provenance graph, subsequences of the launched applications; recommending one of the recorded subsequences, based on the history of execution of the recorded subsequences of the launched applications; creating a new application with the recommended subsequences of the launched applications; launching the newly created application, and storing the newly created application in a catalog of applications for use by the user.

Abstract: The present invention relates to a method and system for associating gene expression data with a disease name. A first data set associated with a plurality of genetic probes for a plurality of biological samples may be received. The first data set may be sorted based on a normalized gene expression values for the plurality of genetic probes. A largest value gap of the normalized gene expression values may be identified. A set of expressed genes within the first data set may be identified. An indexable document may be generated for a biological sample of the plurality of biological samples comprising data associated with the set of expressed genes. A second data set associated with an expressed gene of the set of expressed genes may be searched. A disease name may be associated with an expressed gene based on a threshold correlation between the disease name and the expressed gene.

Abstract: An aspect of synchronization of time between simulation models includes receiving a specification request for generating a set of target time-series data using a set of source time-series data, obtaining specification information relating to the set of source time-series data, obtaining specification information relating to the set of target time-series data and obtaining the source time-series data; comparing the source specification information and the target specification information to determine if the set of source time-series data are time-aligned with the set of target time-series data, and converting the set of source time-series data to the set of target time-series data upon determination that time alignment is needed.

Abstract: An experiment manager is discussed for the design and execution of numerical experiments in composite simulation models, such as those created using the Smarter Planet Platform for Analysis Simulation of Health (Splash). The experiment manager independently elicits experiment-related information from each contributor of a component model, and uses this information to subsequently assist the creator of a composite model in selecting experimental factors, creating experimental designs based on these factors, and executing the experiments. This functionality permits cross-disciplinary modeling, simulation, sensitivity analysis and optimization in the setting of complex systems.

Abstract: Embodiments of the invention relate to an architectural structure for representing an underlying business and tools to support dynamic adjustment of the structure. A social media metric is created and associated with a business metric of a component represented in the architectural structure, and an impact on the underlying business is identified and measured based upon this association. Accordingly, elements of the structure are parsed and analyzed, and in response to the analysis, the structure is dynamically modified to mitigate receipt of measured negative output data.

Abstract: A computer-implemented method for operating a business including operations to receive an enterprise model, define at least one new association between a first and a second business element in the enterprise model, federate a business analysis tool, and determine a business-related impact of the new association on other business elements in the enterprise model. The enterprise model is received at a model server and includes two or more business elements and a map of business components. The collection of business elements indicates associations between one or more business elements. The business analysis tools can filter the enterprise model and are federated by incorporating a business element generated from the business analysis tool into the enterprise model. The business-related impact is determined by using the business analysis tool.