Patents by Inventor Jacquelyn Lillis

Jacquelyn Lillis 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
  • 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