Patents by Inventor Sai-Ping Li

Sai-Ping Li 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).

  • Reconstruction of gene networks and calculating joint probability density using time-series microarray, and a downhill simplex method
    Patent number: 8024277
    Abstract: Gene regulation network is reconstructed using time series microarray data under the method of the Bayesian network. Particular power-law function is used to calculate the joint probabilities among genes across time points. This invention discloses the use of the downhill simplex algorithm to find global maxima of interrelational likelihood. Arcs with higher frequencies are selected to establish the gene regulation network. Prior knowledge may be included into candidate gene networks to accelerate search for best networks.
    Type: Grant
    Filed: June 2, 2008
    Date of Patent: September 20, 2011
    Assignee: Academia Sinica
    Inventors: Sai-Ping Li, Sun-Chong Wang
  • RECONSTRUCTION OF GENE NETWORKS FROM TIME-SERIES MICROARRAY DATA
    Publication number: 20090063376
    Abstract: Gene regulation network is reconstructed using time series microarray data under the method of the Bayesian network. Particular power-law function is used to calculate the joint probabilities among genes across time points. This invention discloses the use of the downhill simplex algorithm to find global maxima of interrelational likelihood. Arcs with higher frequencies are selected to establish the gene regulation network. Prior knowledge may be included into candidate gene networks to accelerate search for best networks.
    Type: Application
    Filed: June 2, 2008
    Publication date: March 5, 2009
    Applicant: Academia Sinica
    Inventors: Sai-Ping Li, Sun-Chong Wang
  • Reconstruction of gene networks from time-series microarray data
    Publication number: 20050256652
    Abstract: Gene regulation network is reconstructed using time series microarray data under the method of the Bayesian network. Particular power-law function is used to calculate the joint probabilities among genes across time points. This invention discloses the use of the downhill simplex algorithm to find global maxima of interrelational likelihood. Arcs with higher frequencies are selected to establish the gene regulation network. Prior knowledge may be included into candidate gene networks to accelerate search for best networks.
    Type: Application
    Filed: May 16, 2004
    Publication date: November 17, 2005
    Inventors: Sai-Ping Li, Sun-Chong Wang