Patents by Inventor Winnie Xin

Winnie Xin 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).

  • Chromosomal and sub-chromosomal copy number variation detection
    Patent number: 12712050
    Abstract: The present disclosure relates to assessment of genetic variation, and in particular to techniques for detection of chromosomal and sub-chromosomal copy number variations. In one aspect, a computer-implemented method is provided for detecting a presence or absence of copy number variation in a target sample. The method includes obtaining sequencing data for a plurality of samples, determining a first normalized coverage for each segment/element in each of the samples according to the sequencing data, determining a second normalized coverage, including a copy number, for each segment/element in each of the samples according to the first normalized coverage, classifying the copy number for each segment/element in a target set in the target sample based on rule-based approaches, machine learning based approaches, or a combination thereof, and outputting a presence or absence of a copy number variation for each segment/element in the target set in the target sample according to the classification.
    Type: Grant
    Filed: June 30, 2022
    Date of Patent: August 18, 2026
    Assignee: Laboratory Corporation of America Holdings
    Inventors: Qiandong Zeng, Winnie Xin, Neil Russell, Chen Xu, Kenneth Phillips
  • Chromosomal and Sub-Chromosomal Copy Number Variation Detection
    Publication number: 20230005569
    Abstract: The present disclosure relates to assessment of genetic variation, and in particular to techniques for detection of chromosomal and sub-chromosomal copy number variations. In one aspect, a computer-implemented method is provided for detecting a presence or absence of copy number variation in a target sample. The method includes obtaining sequencing data for a plurality of samples, determining a first normalized coverage for each segment/element in each of the samples according to the sequencing data, determining a second normalized coverage, including a copy number, for each segment/element in each of the samples according to the first normalized coverage, classifying the copy number for each segment/element in a target set in the target sample based on rule-based approaches, machine learning based approaches, or a combination thereof, and outputting a presence or absence of a copy number variation for each segment/element in the target set in the target sample according to the classification.
    Type: Application
    Filed: June 30, 2022
    Publication date: January 5, 2023
    Inventors: Qiandong Zeng, Winnie Xin, Neil Russell, Chen Xu, Kenneth Phillips