Cargando…
Deep Splicing Code: Classifying Alternative Splicing Events Using Deep Learning
Alternative splicing (AS) is the process of combining different parts of the pre-mRNA to produce diverse transcripts and eventually different protein products from a single gene. In computational biology field, researchers try to understand AS behavior and regulation using computational models known...
Autores principales: | Louadi, Zakaria, Oubounyt, Mhaned, Tayara, Hilal, Chong, Kil To |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722613/ https://www.ncbi.nlm.nih.gov/pubmed/31374967 http://dx.doi.org/10.3390/genes10080587 |
Ejemplares similares
-
DeePromoter: Robust Promoter Predictor Using Deep Learning
por: Oubounyt, Mhaned, et al.
Publicado: (2019) -
Alternative splicing impacts microRNA regulation within coding regions
por: Hackl, Lena Maria, et al.
Publicado: (2023) -
Improving the Quantification of DNA Sequences Using Evolutionary Information Based on Deep Learning
por: Tayara, Hilal, et al.
Publicado: (2019) -
Identification of piRNA disease associations using deep learning
por: Ali, Syed Danish, et al.
Publicado: (2022) -
i4mC-Deep: An Intelligent Predictor of N4-Methylcytosine Sites Using a Deep Learning Approach with Chemical Properties
por: Alam, Waleed, et al.
Publicado: (2021)