1
Jeffrey D Saffer, Augustin J Calapristi, Nancy E Miller, Randall E Scarberry, Sarah J Thurston, Susan L Havre, Scott D Decker, Deborah A Payne, Heidi J Sofia, Gregory S Thomas, Lisa C Stillwell, Guang Chen, Vernon L Crow, Cory L Albright, Sean J Zabriskie, Kevin M Groch, Joel M Malard, Lucille T Nowell: Data processing, analysis, and visualization system for use with disparate data types. Battelle Memorial Institute, Finnegan Henderson Farabow Garrett & Dunner, Konstantin Linnik Esq, January 24, 2006: US06990238 (115 worldwide citation)

A system or method consistent with an embodiment of the present invention is useful in analyzing large volumes of different types of data, such as textual data, numeric data, categorical data, or sequential string data, for use in identifying relationships among the data types or different operation ...


2
Jeffrey D Saffer, Augustin J Calapristi, Nancy E Miller, Randall E Scarberry, Heidi J Sofia, Lisa C Stillwell, Guang Chen, Philip J Monroe: Method and apparatus for extracting attributes from sequence strings and biopolymer material. Battelle Memorial Institute, Finnegan Henderson Farabow Garrett & Dunner L, Konstantin M Linnik, May 24, 2005: US06898530 (5 worldwide citation)

Systems for creating high-dimensional vectors representing sequence strings and biopolymer materials are provided. A first system for divides respective sequence strings into blocks of at least three units to create a vocabulary of blocks. A second system selects predefined domains of a plurality of ...


3
Jeffrey D Saffer, Augustin J Calapristi, Nancy E Miller, Randell E Scarberry, Sarah J Thurston, Susan L Havre, Scott D Decker, Deborah A Payne, Heidi J Sofia, Gregory S Thomas, Lisa C Stillwell, Guang Chen, Vernon L Crow, Cory L Albright, Sean J Zabriskie, Kevin M Groch, Joel M Malard, Lucille T Nowell: Data processing, analysis, and visualization system for use with disparate data types. Battelle Memorial Institute, Finnegan Henderson Farabow Garrett & Dunner, May 18, 2006: US20060106783-A1

A system or method consistent with an embodiment of the present invention is useful in analyzing large volumes of different types of data, such as textual data, numeric data, categorical data, or sequential string data, for use in identifying relationships among the data types or different operation ...


4
Jeffrey D Saffer, Gregory S Thomas, Lisa C Stillwell, Guang Chen, Vernon L Crow, Cory L Albright, Sean J Zabriskie, Kevin M Groch, Joel M Malard, Lucille T Nowell, Augustin J Calapristi, Nancy E Miller, Randall E Scarberry, Sara J Thurston, Susan L Havre, Scott D Decker, Deborah A Payne, Heidi J Sofia: Data processing, analysis, and visualization system for use with disparate data types. Battelle Memorial Institute, Finnegan Henderson Farabow Garrett & Dunner, May 4, 2006: US20060093222-A1

A system or method consistent with an embodiment of the present invention is useful in analyzing large volumes of different types of data, such as textual data, numeric data, categorical data, or sequential string data, for use in identifying relationships among the data types or different operation ...



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