Result Details

Utilizing Cartesian Genetic Programming for Efficient Polygenic Risk Score Calculation in Plants

HURTA, M.; SCHWARZEROVÁ, J.; PROVAZNÍK, V.; WECKWERTH, W.; WALTHER, D.; SEKANINA, L. Utilizing Cartesian Genetic Programming for Efficient Polygenic Risk Score Calculation in Plants. Program and Abstract Book: Swedish Bioinformatics Workshop 2023. Stockholm: 2023. p. 49-49.
Type
abstract
Language
English
Authors
Hurta Martin, Ing., DCSY (FIT)
Schwarzerová Jana, Ing. et Ing., MSc, UBMI (FEEC)
Provazník Valentýna, prof. Ing., Ph.D., UBMI (FEEC)
Weckwerth Wolfram, Prof., Dr. rer. nat.
Walther Dirk
Sekanina Lukáš, prof. Ing., Ph.D., DCSY (FIT)
URL
Published
2023
Pages
49–49
Book
Program and Abstract Book: Swedish Bioinformatics Workshop 2023
Conference
Swedish Bioinformatics Workshop 2023
Place
Stockholm
BibTeX
@misc{BUT185207,
  author="Martin {Hurta} and Jana {Schwarzerová} and Valentýna {Provazník} and Wolfram {Weckwerth} and Dirk {Walther} and Lukáš {Sekanina}",
  title="Utilizing Cartesian Genetic Programming for Efficient Polygenic Risk Score Calculation in Plants",
  booktitle="Program and Abstract Book: Swedish Bioinformatics Workshop 2023",
  year="2023",
  pages="49--49",
  address="Stockholm",
  url="https://drive.google.com/file/d/1YQ2dbigYqRdsG_c_1Xz6rKw9Qz5TC200",
  note="Abstract"
}
Projects
PGine: Py/Bioconda software package for calculation of polygenic risk score in plants, BUT, Vnitřní projekty VUT, FEKT/FIT-J-23-8274, start: 2023-03-01, end: 2024-02-28, running
Research groups
Departments
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