Agilent Technologies, Inc.

Aditya Vailaya

Allan J Kuchinsky

Valery Kanevsky

Robert Lloyd Kincaid

Robert H Kincaid

Annette Marie Adler

Parvathi Chundi

Simon G Handley

David Moh

Peter Bluvas

Systems, methods and computer readable media for performing a domain-specific metasearch, and obtaining search results therefrom. A metasearch engine capable of accessing generic, web-based search engines and domain-relevant search engines is provided to receive one or more queries inputted by a user, and to search for documents on at least one the generic, web-based search engines and domain-relevant search engines which are relevant to the queries. Raw data search results are fetched in the form of text documents. Relevant data including semantic information are extracted from the raw data search results, and converted to a local format. The relevant data having been converted to the local format may be visualized as a network visualization. Additionally or alternatively, the raw data search results may be ranked and/or filtered based on the linking of the relevant data. Visualization of the raw data having been ranked and/or filtered may be performed in addition to, or alternative to visualization of the network.

Systems, methods and computer readable media for performing a domain-specific metasearch, and visualizing search results therefrom

A method for feature selection is provided. The method includes the steps of selecting a predictor set of features, adding at least one complementary feature to the predictor set based on a quality of prediction, checking to see if all of the features of the predictor set are repeated, and if not, removing at least one feature from the predictor set. The algorithm and method repeats the steps of adding complements, checking the predictor set and removing features until the features of the predictor set are repeated. Once the features of. the predictor set are repeated the proper number of times, the algorithm and method terminate.

Fast microarray expression data analysis method for network exploration

Systems, tools, methods and recordable media for text mining textual documents and extracting and associating entities and interactions mined with other data formats, such as diagrammatic displays and experimental data, using a local format. Additionally, information may be overlaid and compared with existing biological diagrams.

System, tools and methods for viewing textual documents, extracting knowledge therefrom and converting the knowledge into other forms of representation of the knowledge

System, tools and methods for extracting the contents from a graphical image, such as the representation of a biological process, and converting the contents into a standardized, machine readable format. The standard format can be used to create editable graphical representations of images, such as biological models.

System and methods for extracting semantics from images

A user's context can be captured in terms of experimental results and other locally collected data. The use of extracted links between imported scientific text, biological models or experimental data, and proprietary or public data to provide relevance ranking, filtering, and categorization of imported scientific text or biological models, based upon their linking with the local data is described.

System, tools and methods to facilitate identification and organization of new information based on context of user's existing information

A system and method for performing domain-specific knowledge based metasearches. A metasearch engine is provided for accessing a searching text-based documents using generic search engines while simultaneously being able to access publication based databases and sequence databases as well as in-house proprietary databases and any database capable of being interfaced with a web interface so as to produce search results in text format. A data mining module is also provided for organizing raw data obtained by unsupervised clustering, simple relevance ranking, and categorization, all of which are done independently of one another. The system is capable of storing previous search data for use in query refinement or subsequent searches based upon the stored data. A search results collection browser may be provided for analyzing current browsing patterns of the user for developing weighting factors to be used in ordering the results of future searches.

Domain specific knowledge-based metasearch system and methods of using

A method for performing network reconstruction is provided. The method includes the steps of selecting a predictor set of features, adding a complement to the predictor set based on a quality of prediction, checking to see if all of the features of the predictor set are repeated, and then removing one feature from the predictor set. The Algorithm and method repeats the steps of adding a complement, checking the predictor set and removing a feature until the features of the predictor set are repeated. If the features of the predictor set are repeated, the algorithm and method terminate.

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Santa Clara, CA, United States of America

Aditya Vailaya