Detection of genomic regions associated malformations in newborn piglets: a machine-learning approach : научное издание

Описание

Тип публикации: статья из журнала

Год издания: 2021

Идентификатор DOI: 10.7717/peerj.11580

Ключевые слова: congenital malformations, machine learning, gwas, agriculture, pigs

Аннотация: Background. A significant proportion of perinatal losses in pigs occurs due to congenital malformations. The purpose of this study is the identification of genomic loci associated with fetal malformations in piglets. Methods. The malformations were divide

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Издание

Журнал: PEERJ

Выпуск журнала: Vol. 9

Номера страниц: 11580

ISSN журнала: 21678359

Место издания: LONDON

Издатель: PEERJ INC

Персоны

  • Bakoev Siroj (Fed Res Ctr Anim Husb Named, Dubrovitsy, Russia; Ctr Strateg Planning & Management Biomed Hlth Ris, Moscow, Russia)
  • Traspov Aleksei (Fed Res Ctr Anim Husb Named, Dubrovitsy, Russia; Ctr Strateg Planning & Management Biomed Hlth Ris, Moscow, Russia)
  • Getmantseva Lyubov (Fed Res Ctr Anim Husb Named, Dubrovitsy, Russia)
  • Belous Anna (Fed Res Ctr Anim Husb Named, Dubrovitsy, Russia)
  • Karpushkina Tatiana (Fed Res Ctr Anim Husb Named, Dubrovitsy, Russia)
  • Kostyunina Olga (Fed Res Ctr Anim Husb Named, Dubrovitsy, Russia)
  • Usatov Alexander (South Fed Univ, Rostov Na Donu, Russia)
  • Tatarinova Tatiana (Univ La Verne, Dept Biol, La Verne, CA USA; Russian Acad Sci, Inst Informat Transmiss Problems, Moscow, Russia; Vavilov Inst Gen Genet, Moscow, Russia; Siberian Fed Univ, Sch Fundamental Biol & Biotechnol, Krasnoyarsk, Russia)