Cellular State Transformations Using Deep Learning for Precision Medicine Applications

We introduce the Transcriptome State Perturbation Generator (TSPG) as a novel deep-learning method to identify changes in genomic expression that occur between tissue states using generative adversarial networks. TSPG learns the transcriptome perturbations from RNA-sequencing data required to shift...

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Detalles Bibliográficos
Autores principales: Targonski, Colin, Bender, M. Reed, Shealy, Benjamin T., Husain, Benafsh, Paseman, Bill, Smith, Melissa C., Feltus, F. Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660411/
https://www.ncbi.nlm.nih.gov/pubmed/33205131
http://dx.doi.org/10.1016/j.patter.2020.100087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660411/
https://www.ncbi.nlm.nih.gov/pubmed/33205131
http://dx.doi.org/10.1016/j.patter.2020.100087

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