Deep learning in microbiome analysis: a comprehensive review of neural network models
P Przymus, K Rykaczewski, A Martín-Segura… - Frontiers in …, 2025 - frontiersin.org
Microbiome research, the study of microbial communities in diverse environments, has seen
significant advances due to the integration of deep learning (DL) methods. These …
significant advances due to the integration of deep learning (DL) methods. These …
MuLan-Methyl—multiple transformer-based language models for accurate DNA methylation prediction
Transformer-based language models are successfully used to address massive text-related
tasks. DNA methylation is an important epigenetic mechanism, and its analysis provides …
tasks. DNA methylation is an important epigenetic mechanism, and its analysis provides …
[PDF][PDF] A deep learning algorithm-based visual strategy intervention study for children with autism spectrum disorders–extraction and detection of children's behavioral …
Y Lin - European Review for Medical & Pharmacological …, 2023 - europeanreview.org
OBJECTIVE: Autism spectrum disorder is a group of neurodevelopmental disorders. The
disease's etiology is unclear, and there is no specific drug treatment for the core symptoms …
disease's etiology is unclear, and there is no specific drug treatment for the core symptoms …
Estudio genético y potencial de cultivo de Avellano chileno (Gevuina avellana Mol.)
MR Moya Moraga - 2023 - oa.upm.es
La tesis de encuentra dividida en tres capítulos. En el primer capítulo se planteó como
objetivo determinar la diversidad y estructura genética de la especie, además de evaluar su …
objetivo determinar la diversidad y estructura genética de la especie, además de evaluar su …