Patents by Inventor ELI RODGERS-MELNICK

ELI RODGERS-MELNICK 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: 20220090215
    Abstract: Methods and compositions to impute or predict genotype, haplotype, molecular phenotype, agronomic phenotypes, and/or coancestry are provided. Methods and compositions provided include using latent space to generate latent space representations or latent vectors that are independent of underlying genotypic or phenotypic data. The methods may include generating a universal latent space representation by encoding discrete or continuous variables derived from genotypic or phenotypic data into latent vectors through a machine learning-based encoder framework. Provided herein are universal methods of parametrically representing genotypic or phenotypic data obtained from one or more populations or sample sets to impute or predict a genotype or phenotype of interest.
    Type: Application
    Filed: October 1, 2021
    Publication date: March 24, 2022
    Applicant: PIONEER HI-BRED INTERNATIONAL, INC.
    Inventors: ANDREW BAUMGARTEN, JUSTIN P GERKE, ELI RODGERS-MELNICK
  • Patent number: 11174522
    Abstract: Methods and compositions to impute or predict genotype, haplotype, molecular phenotype, agronomic phenotypes, and/or coancestry are provided. Methods and compositions provided include using latent space to generate latent space representations or latent vectors that are independent of underlying genotypic or phenotypic data. The methods may include generating a universal latent space representation by encoding discrete or continuous variables derived from genotypic or phenotypic data into latent vectors through a machine learning-based encoder framework. Provided herein are universal methods of parametrically representing genotypic or phenotypic data obtained from one or more populations or sample sets to impute or predict a genotype or phenotype of interest.
    Type: Grant
    Filed: March 10, 2020
    Date of Patent: November 16, 2021
    Inventors: Andrew Baumgarten, Justin P Gerke, Eli Rodgers-Melnick
  • Publication number: 20200291489
    Abstract: Methods and compositions to impute or predict genotype, haplotype, molecular phenotype, agronomic phenotypes, and/or coancestry are provided. Methods and compositions provided include using latent space to generate latent space representations or latent vectors that are independent of underlying genotypic or phenotypic data. The methods may include generating a universal latent space representation by encoding discrete or continuous variables derived from genotypic or phenotypic data into latent vectors through a machine learning-based encoder framework. Provided herein are universal methods of parametrically representing genotypic or phenotypic data obtained from one or more populations or sample sets to impute or predict a genotype or phenotype of interest.
    Type: Application
    Filed: March 10, 2020
    Publication date: September 17, 2020
    Applicant: PIONEER HI-BRED INTERNATIONAL, INC.
    Inventors: ANDREW BAUMGARTEN, JUSTIN P. GERKE, ELI RODGERS-MELNICK