scDM: A deep generative method for cell surface protein prediction with diffusion model

• Published in: Journal of molecular biology Vol. 436; no. 12; p. 168610
• Main Authors: Yu, Hanlei, Zheng, Yuanjie, Yang, Xinbo
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Ltd 15.06.2024
• Subjects: Algorithms; CITE-seq technology; Computational Biology - methods; data collection; deep learning; drugs; epitopes; Gaussian noise; Gene Expression Profiling - methods; generating predictions; Humans; Membrane Proteins - genetics; Membrane Proteins - metabolism; molecular biology; multiomics; neoplasm cells; prediction; protein synthesis; RNA; Single-Cell Analysis - methods; surface proteins; Technical noise; therapeutics; Transcriptome; CITE-seq technology; deep learning; generating predictions; Gaussian noise; Technical noise

[Display omitted] •Considering both RNA and protein expression could obtain more biological evidence.•We propose a method for predicting protein expression based on the diffusion model.•The diffusion model is the first to be used in the field of single-cell analysis.•The proposed method was validate...