Use of deep neural network ensembles to identify embryonic-fetal transition markers: repression of COX7A1 in embryonic and cancer cells

Here we present the application of deep neural network (DNN) ensembles trained on transcriptomic data to identify the novel markers associated with the mammalian embryonic-fetal transition (EFT). Molecular markers of this process could provide important insights into regulatory mechanisms of normal...

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Detalles Bibliográficos
Autores principales: West, Michael D., Labat, Ivan, Sternberg, Hal, Larocca, Dana, Nasonkin, Igor, Chapman, Karen B., Singh, Ratnesh, Makarev, Eugene, Aliper, Alex, Kazennov, Andrey, Alekseenko, Andrey, Shuvalov, Nikolai, Cheskidova, Evgenia, Alekseev, Aleksandr, Artemov, Artem, Putin, Evgeny, Mamoshina, Polina, Pryanichnikov, Nikita, Larocca, Jacob, Copeland, Karen, Izumchenko, Evgeny, Korzinkin, Mikhail, Zhavoronkov, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5814259/
https://www.ncbi.nlm.nih.gov/pubmed/29487692
http://dx.doi.org/10.18632/oncotarget.23748

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5814259/
https://www.ncbi.nlm.nih.gov/pubmed/29487692
http://dx.doi.org/10.18632/oncotarget.23748

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