Patents by Inventor Lani F. Wu

Lani F. Wu has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20080195322
    Abstract: A multivariate, automated and scalable method for extracting profiles from images to quantify the effects of perturbations on biological samples. Morphological features are determined from images of treated (perturbed) and control (unperturbed) biological samples, and multivariate classification, for example, using a separating decision hyperplane, is used to separate the distribution of measured feature data into control and treated groups. This classification may be used to determine a magnitude of the effect of the particular perturbation under study. A practical application is high-throughput image-based drug screening, wherein the effects of many different compounds, each applied at different doses and for different exposure times, may be profiled to, for example, characterize compound activities and to identify dose-dependent multiphasic drug responses, or to determine and classify the biological effects of new compounds.
    Type: Application
    Filed: February 12, 2007
    Publication date: August 14, 2008
    Inventors: Steven J. Altschuler, Lit-Hsin Loo, Lani F. Wu
  • Publication number: 20040161791
    Abstract: The invention relates to methods and systems (e.g., computer systems and computer program products) for identifying and characterizing genes using microarrays. In particular, the invention provides for improved, robust methods for detecting genes through the use of microarrays to analyze the expression state of the genome. Genes which are expressed can be mapped to their respective positions in the genome, and the structure of such genes can be determined.
    Type: Application
    Filed: March 29, 2004
    Publication date: August 19, 2004
    Applicant: Rosetta Inpharmatics LLC.
    Inventors: Daniel D. Shoemaker, Stewart Scherer, Steven J. Altschuler, Lani F. Wu, Christopher D. Armour
  • Patent number: 6778971
    Abstract: Methods and apparatus for analyzing tasks performed by computer users by (i) gathering usage data, (ii) converting logged usage data into a uniform format, (iii) determining or defining task boundaries, and (iv) determining a task analysis model by “clustering” similar tasks together. The task analysis model may be used to (i) help users complete a task (such help, for example, may be in the form of a gratuitous help function), and/or (ii) to target marketing information to users based on user inputs and the task analysis model. The present invention also provides a uniform semantic network for representing different types of objects in a uniform way.
    Type: Grant
    Filed: June 3, 1999
    Date of Patent: August 17, 2004
    Assignee: Microsoft Corporation
    Inventors: Steven J. Altschuler, David Ingerman, Edward K. Jung, Greg Ridgeway, Lani F. Wu
  • Patent number: 6713257
    Abstract: The invention relates to methods and systems (e.g., computer systems and computer program products) for identifying and characterizing genes using microarrays. In particular, the invention provides for improved, robust methods for detecting genes through the use of microarrays to analyze the expression state of the genome. Genes which are expressed can be mapped to their respective positions in the genome, and the structure of such genes can be determined.
    Type: Grant
    Filed: February 12, 2001
    Date of Patent: March 30, 2004
    Assignee: Rosetta Inpharmatics LLC
    Inventors: Daniel D. Shoemaker, Stewart Scherer, Steven J. Altschuler, Lani F. Wu, Christopher D. Armour
  • Patent number: 6606613
    Abstract: Methods and apparatus for analyzing tasks performed by computer users by (i) gathering usage data, (ii) converting logged usage data into a uniform format, (iii) determining or defining task boundaries, and (iv) determining a task analysis model by “clustering” similar tasks together. The task analysis model may be used to (i) help users complete a task (such help, for example, may be in the form of a gratuitous help function), and/or (ii) to target marketing information to users based on user inputs and the task analysis model. The present invention also provides a uniform semantic network for representing different types of objects in a uniform way.
    Type: Grant
    Filed: June 3, 1999
    Date of Patent: August 12, 2003
    Assignee: Microsoft Corporation
    Inventors: Steven J. Altschuler, David Ingerman, Edward K. Jung, Greg Ridgeway, Lani F. Wu
  • Publication number: 20020045169
    Abstract: The invention relates to methods and systems (e.g., computer systems and computer program products) for identifying and characterizing genes using microarrays. In particular, the invention provides for improved, robust methods for detecting genes through the use of microarrays to analyze the expression state of the genome. Genes which are expressed can be mapped to their respective positions in the genome, and the structure of such genes can be determined.
    Type: Application
    Filed: February 12, 2001
    Publication date: April 18, 2002
    Inventors: Daniel D. Shoemaker, Stewart Scherer, Steven J. Altschuler, Lani F. Wu, Christopher D. Armour
  • Patent number: 6330554
    Abstract: Methods and apparatus for analyzing tasks performed by computer users by (i) gathering usage data, (ii) converting logged usage data into a uniform format, (iii) determining or defining task boundaries, and (iv) determining a task analysis model by “clustering” similar tasks together. The task analysis model may be used to (i) help users complete a task (such help, for example, may be in the form of a gratuitous help function), and/or (ii) to target marketing information to users based on user inputs and the task analysis model. The present invention also provides a uniform semantic network for representing different types of objects in a uniform way.
    Type: Grant
    Filed: June 3, 1999
    Date of Patent: December 11, 2001
    Assignee: Microsoft Corporation
    Inventors: Steven J. Altschuler, David Ingerman, Edward K. Jung, Greg Ridgeway, Lani F. Wu
  • Patent number: 6151585
    Abstract: Resource usage data is used to infer degrees of influence between users. Once such inferences are made, a directed graph representation of the users and the inferred "influence" between the users can be generated. "Influential rumormongers" can then be determined from the directed graph, for example, by using a greedy graph covering algorithm. In this way, marketing information can be targeted to "influential rumormongers" to optimize its dissemination and impact. If actual (explicit) data regarding the influence between users is known, such data may be used to refine or replace at least some edge values.
    Type: Grant
    Filed: April 24, 1998
    Date of Patent: November 21, 2000
    Assignee: Microsoft Corporation
    Inventors: Steven J. Altschuler, Lani F. Wu, David Ingerman
  • Patent number: 5812430
    Abstract: A method, system and computer product for allowing efficient user interaction with digital time-based signals. User control and filter information (symbolic, procedural or a combination of both) are optimized for greatly improving calculating efficiency. First, filters are symbolically optimized. Then, a single optimized procedure is generated and compiled into an optimized procedure code. The procedure code then processes the input signal according to control information.
    Type: Grant
    Filed: June 2, 1997
    Date of Patent: September 22, 1998
    Assignee: Microsoft Corporation
    Inventors: Steven J. Altschuler, William E. Kim, Lani F. Wu