Patents by Inventor William Ryon McKay

William Ryon McKay 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).

  • High-resolution melt curve classification using neural networks
    Patent number: 9864834
    Abstract: The present invention relates to a method and system for classifying high-resolution melt (“HRM”) curves, and, more specifically, to a method and system for classifying HRM curves by genotype where the curves are represented by a mathematical function with varying coefficient values.
    Type: Grant
    Filed: March 15, 2013
    Date of Patent: January 9, 2018
    Assignee: Syracuse University
    Inventors: Jonathan David Adelman, William Ryon McKay, Jacquelyn Lillis, Katherine Lawson
  • Combinatorics method for probabilistic geolocation
    Patent number: 9336490
    Abstract: A method and system for geolocation. The method and system determines the geographic history of a target of interest (i.e., the probability that a sample of interest passed though a defined location) given a combination of spatially attributable input data and weighing distributions, and modifying the probability for each possible location using the equation P ? ( x ) = ? k K ? ( w ? ( k ) · n x ) ? k K ? ( w ? ( k ) · n t ) , where P(x) is the probability that the sample of interest passes through a given geographic location X, nt is the total number of possible legal travel routes for the sample of interest, nx is the number of legal travel routes including location X, k is the travel route's cardinality, and w(k) is the assigned weight for cardinality k from the user-defined weighting function.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: May 10, 2016
    Assignee: Syracuse University
    Inventors: William Ryon McKay, Jonathan David Adelman
  • High-Resolution Melt Curve Classification Using Neural Networks
    Publication number: 20140278126
    Abstract: The present invention relates to a method and system for classifying high-resolution melt (“HRM”) curves, and, more specifically, to a method and system for classifying HRM curves by genotype where the curves are represented by a mathematical function with varying coefficient values.
    Type: Application
    Filed: March 15, 2013
    Publication date: September 18, 2014
    Applicant: SRC, INC.
    Inventors: Jonathan David Adelman, William Ryon McKay, Jacquelyn Lillis, Katherine Lawson
  • Combinatorics Approach to Probabilistic Geolocation
    Publication number: 20140279812
    Abstract: A method and system for geolocation. The method and system determines the geographic history of a target of interest (i.e., the probability that a sample of interest passed though a defined location) given a combination of spatially attributable input data and weighing distributions.
    Type: Application
    Filed: March 14, 2013
    Publication date: September 18, 2014
    Applicant: SRC, INC.
    Inventors: William Ryon McKay, Jonathan David Adelman