Cargando…
Genomic benchmarks: a collection of datasets for genomic sequence classification
BACKGROUND: Recently, deep neural networks have been successfully applied in many biological fields. In 2020, a deep learning model AlphaFold won the protein folding competition with predicted structures within the error tolerance of experimental methods. However, this solution to the most prominent...
Autores principales: | Grešová, Katarína, Martinek, Vlastimil, Čechák, David, Šimeček, Petr, Alexiou, Panagiotis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150520/ https://www.ncbi.nlm.nih.gov/pubmed/37127596 http://dx.doi.org/10.1186/s12863-023-01123-8 |
Ejemplares similares
-
Using Attribution Sequence Alignment to Interpret Deep Learning Models for miRNA Binding Site Prediction
por: Grešová, Katarína, et al.
Publicado: (2023) -
GSA: Genome Sequence Archive(*)
por: Wang, Yanqing, et al.
Publicado: (2017) -
A benchmark server using high resolution protein structure data, and benchmark results for membrane helix predictions
por: Rath, Emma M, et al.
Publicado: (2013) -
miRBind: A Deep Learning Method for miRNA Binding Classification
por: Klimentová, Eva, et al.
Publicado: (2022) -
Linking the International Wheat Genome Sequencing Consortium bread wheat reference genome sequence to wheat genetic and phenomic data
por: Alaux, Michael, et al.
Publicado: (2018)