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Transformers in single-cell omics: a review and new perspectives
Recent efforts to construct reference maps of cellular phenotypes have expanded the
volume and diversity of single-cell omics data, providing an unprecedented resource for …
volume and diversity of single-cell omics data, providing an unprecedented resource for …
METTL3 inhibition induced by M2 macrophage-derived extracellular vesicles drives anti-PD-1 therapy resistance via M6A-CD70-mediated immune suppression in …
J Ning, X Hou, J Hao, W Zhang, Y Shi… - Cell Death & …, 2023 - nature.com
The treatment options for advanced papillary thyroid cancer (PTC) and anaplastic thyroid
cancer (ATC) refractory to standard therapies are limited. Although anti-PD-1 therapy has a …
cancer (ATC) refractory to standard therapies are limited. Although anti-PD-1 therapy has a …
Advances and applications in single-cell and spatial genomics
J Wang, F Ye, H Chai, Y Jiang, T Wang, X Ran… - Science China Life …, 2024 - Springer
The applications of single-cell and spatial technologies in recent times have revolutionized
the present understanding of cellular states and the cellular heterogeneity inherent in …
the present understanding of cellular states and the cellular heterogeneity inherent in …
Generative pretraining from large-scale transcriptomes for single-cell deciphering
H Shen, J Liu, J Hu, X Shen, C Zhang, D Wu, M Feng… - Iscience, 2023 - cell.com
Exponential accumulation of single-cell transcriptomes poses great challenge for efficient
assimilation. Here, we present an approach entitled generative pretraining from …
assimilation. Here, we present an approach entitled generative pretraining from …
Development of a deep learning model for cancer diagnosis by inspecting cell-free DNA end-motifs
Accurate discrimination between patients with and without cancer from cfDNA is crucial for
early cancer diagnosis. Herein, we develop and validate a deep-learning-based model …
early cancer diagnosis. Herein, we develop and validate a deep-learning-based model …
scGAA: a general gated axial-attention model for accurate cell-type annotation of single-cell RNA-seq data
T Kong, T Yu, J Zhao, Z Hu, N **ong, J Wan, X Dong… - Scientific Reports, 2024 - nature.com
Single-cell RNA sequencing (scRNA-seq) is a key technology for investigating cell
development and analysing cell diversity across various diseases. However, the high …
development and analysing cell diversity across various diseases. However, the high …
[PDF][PDF] Deep-learning methods for unveiling large-scale single-cell transcriptomes
X Shen, X Li - Cancer Biology & Medicine, 2024 - cancerbiomed.org
The rapidly evolving realm of single-cell transcriptomics offers vital new perspectives into the
understanding of intra-and inter-cellular molecular dynamics governing development …
understanding of intra-and inter-cellular molecular dynamics governing development …