Cargando…
Single-Cell Multimodal Prediction via Transformers
The recent development of multimodal single-cell technology has made the possibility of acquiring multiple omics data from individual cells, thereby enabling a deeper understanding of cellular states and dynamics. Nevertheless, the proliferation of multimodal single-cell data also introduces tremend...
Autores principales: | Tang, Wenzhuo, Wen, Hongzhi, Liu, Renming, Ding, Jiayuan, Jin, Wei, Xie, Yuying, Liu, Hui, Tang, Jiliang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cornell University
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462176/ https://www.ncbi.nlm.nih.gov/pubmed/37645040 |
Ejemplares similares
-
HybridCTrm: Bridging CNN and Transformer for Multimodal Brain Image Segmentation
por: Sun, Qixuan, et al.
Publicado: (2021) -
Ultrasound-Based Multimodal Imaging Predicting Ischemic-Type Biliary Lesions After Living-Donor Liver Transplantation
por: Liu, Jin-qiao, et al.
Publicado: (2021) -
Subcutaneous Low-Density Foreign Bodies Detection via Grating-Based Multimodal X-ray Imaging
por: Yin, Meifang, et al.
Publicado: (2022) -
IOUC-3DSFCNN: Segmentation of Brain Tumors via IOU Constraint 3D Symmetric Full Convolution Network with Multimodal Auto-context
por: Liu, Jinping, et al.
Publicado: (2020) -
Robust probabilistic modeling for single-cell multimodal mosaic integration and imputation via scVAEIT
por: Du, Jin-Hong, et al.
Publicado: (2022)