Cargando…
Application of Computational Biology to Decode Brain Transcriptomes
The rapid development of high-throughput sequencing technologies has generated massive valuable brain transcriptome atlases, providing great opportunities for systematically investigating gene expression characteristics across various brain regions throughout a series of developmental stages. Recent...
Autores principales: | Li, Jie, Wang, Guang-Zhong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943780/ https://www.ncbi.nlm.nih.gov/pubmed/31655213 http://dx.doi.org/10.1016/j.gpb.2019.03.003 |
Ejemplares similares
-
Neural Decoding for Intracortical Brain–Computer Interfaces
por: Dong, Yuanrui, et al.
Publicado: (2023) -
Application of Transfer Learning in EEG Decoding Based on Brain-Computer Interfaces: A Review
por: Zhang, Kai, et al.
Publicado: (2020) -
Integrated transcriptomic and neuroimaging brain model decodes biological mechanisms in aging and Alzheimer’s disease
por: Adewale, Quadri, et al.
Publicado: (2021) -
Editorial: Decoding Brain Function Through Genetics
por: Toriumi, Kazuya, et al.
Publicado: (2022) -
fMRI Brain Decoding and Its Applications in Brain–Computer Interface: A Survey
por: Du, Bing, et al.
Publicado: (2022)