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: 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: 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 system and method for processing a document to generate a set of related documents. A system is provided that includes a textual analytics system that analyzes unstructured data contained in a source document and extracts a set of structured information about the source document; and a compare system that identifies a set of related documents by comparing the set of structured information with metadata indexed from a set of publications.

Abstract: A biological pathway is a series of actions that take place in an organism that lead to some resulting pathology or otherwise change the organism state. In the cell, these actions typically take place between molecules called proteins. Proteins within the cell interact in ways that are not fully understood, but evidence concerning these interactions is constantly being collected and published by microbiologists. The disclosed method automatically infers such biological pathways between proteins by looking at the overall system of published literature about those proteins.

Abstract: Methods, systems and computer program products for simplifying complex data stream problems involving feature extraction from noisy data. Exemplary embodiments include a method for processing a data stream, including applying multiple operators to the data stream, wherein an operation by each of the multiple operators includes retrieving the next chunk for each of set of input parameters, performing digital processing operations on a respective next chunk, producing sets of output parameters and adding data to one or more internal data stores, each internal data store acting as a data stream source.

Abstract: A method and structure for analyzing a database having non-text data in data fields and text in text fields. The invention first selects a subset of the database based upon criteria. The subset includes data field(s) and associated text field(s). The invention searches for data matching the criteria within structured data fields of the database. If the invention searches multiple databases, the invention creates shared dimensions for databases that do not share common attributes. The invention automatically selects a relatively short text phrase from the text fields that helps to explain the underlying meaning (i.e. unique text content) of a data subset selected using the non-text data fields.

Abstract: Methods, systems and computer program products for simplifying complex data stream problems involving feature extraction from noisy data. Exemplary embodiments include a method for processing a data stream, including applying multiple operators to the data stream, wherein an operation by each of the multiple operators includes retrieving the next chunk for each of set of input parameters, performing digital processing operations on a respective next chunk, producing sets of output parameters and adding data to one or more internal data stores, each internal data store acting as a data stream source.

Abstract: Methods, systems and computer program products for simplifying complex data stream problems involving feature extraction from noisy data. Exemplary embodiments include a method for processing a data stream, including applying multiple operators to the data stream, wherein an operation by each of the multiple operators includes retrieving the next chunk for each of set of input parameters, performing digital processing operations on a respective next chunk, producing sets of output parameters and adding data to one or more internal data stores, each internal data store acting as a data stream source.

Abstract: Methods, systems and computer program products for simplifying complex data stream problems involving feature extraction from noisy data. Exemplary embodiments include a method for processing a data stream, including applying multiple operators to the data stream, wherein an operation by each of the multiple operators includes retrieving the next chunk for each of set of input parameters, performing digital processing operations on a respective next chunk, producing sets of output parameters and adding data to one or more internal data stores, each internal data store acting as a data stream source.

Abstract: A method and structure for analyzing a database having non-text data in data fields and text in text fields. The invention first selects a subset of the database based upon criteria. The subset includes data field(s) and associated text field(s). The invention searches for data matching the criteria within structured data fields of the database. If the invention searches multiple databases, the invention creates shared dimensions for databases that do not share common attributes. The invention automatically selects a relatively short text phrase from the text fields that helps to explain the underlying meaning (i.e. unique text content) of a data subset selected using the non-text data fields.

Abstract: A method and structure for analyzing a database having non-text data in data fields and text in text fields. The invention first selects a subset of the database based upon criteria. The subset includes data field(s) and associated text field(s). The invention searches for data matching the criteria within structured data fields of the database. If the invention searches multiple databases, the invention creates shared dimensions for databases that do not share common attributes. The invention automatically selects a relatively short text phrase from the text fields that helps to explain the underlying meaning (i.e. unique text content) of a data subset selected using the non-text data fields.

Abstract: A computing system and method explores a knowledge repository by accepting a natural language query from a user, determining a distance between the query and every category in every partitioning of the knowledge repository, and displaying a radial graph (322) of the nearest categories. Further, in response to a user selecting a category, visually displaying matching elements in the category along with its nearest neighbor categories in a scatter plot (324).

Abstract: A computing system and method explores a knowledge repository by accepting a natural language query from a user, determining a distance between the query and every category in every partitioning of the knowledge repository, and displaying a radial graph (322) of the nearest categories. Further, in response to a user selecting a category, visually displaying matching elements in the category along with its nearest neighbor categories in a scatter plot (324).