DEGnext: classification of differentially expressed genes from RNA-seq data using a convolutional neural network with transfer learning

BACKGROUND: A limitation of traditional differential expression analysis on small datasets involves the possibility of false positives and false negatives due to sample variation. Considering the recent advances in deep learning (DL) based models, we wanted to expand the state-of-the-art in disease...

Descripción completa

Detalles Bibliográficos
Autores principales: Kakati, Tulika, Bhattacharyya, Dhruba K., Kalita, Jugal K., Norden-Krichmar, Trina M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8734099/
https://www.ncbi.nlm.nih.gov/pubmed/34991439
http://dx.doi.org/10.1186/s12859-021-04527-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8734099/
https://www.ncbi.nlm.nih.gov/pubmed/34991439
http://dx.doi.org/10.1186/s12859-021-04527-4

Ejemplares similares