Cargando…
iMethyl-Deep: N6 Methyladenosine Identification of Yeast Genome with Automatic Feature Extraction Technique by Using Deep Learning Algorithm
One of the most common and well studied post-transcription modifications in RNAs is N6-methyladenosine (m6A) which has been involved with a wide range of biological processes. Over the past decades, N6-methyladenosine produced some positive consequences through the high-throughput laboratory techniq...
Autores principales: | Mahmoudi, Omid, Wahab, Abdul, Chong, Kil To |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7288457/ https://www.ncbi.nlm.nih.gov/pubmed/32397453 http://dx.doi.org/10.3390/genes11050529 |
Ejemplares similares
-
DNC4mC-Deep: Identification and Analysis of DNA N4-Methylcytosine Sites Based on Different Encoding Schemes By Using Deep Learning
por: Wahab, Abdul, et al.
Publicado: (2020) -
iMETHYL: an integrative database of human DNA methylation, gene expression, and genomic variation
por: Komaki, Shohei, et al.
Publicado: (2018) -
Integrated analysis of human DNA methylation, gene expression, and genomic variation in iMETHYL database using kernel tensor decomposition-based unsupervised feature extraction
por: Taguchi, Y-h., et al.
Publicado: (2023) -
iMethyl-PseAAC: Identification of Protein Methylation Sites via a Pseudo Amino Acid Composition Approach
por: Qiu, Wang-Ren, et al.
Publicado: (2014) -
DNA sequences performs as natural language processing by exploiting deep learning algorithm for the identification of N4-methylcytosine
por: Wahab, Abdul, et al.
Publicado: (2021)