Integrative analysis using autoencoders. Contribute to TingWeee/scMultiomics_DeepLearning development by creating an account on GitHub.
To address this gap, we propose a novel pipeline called MultiSC for the analysis of MULTIomic Single-Cell data. Our pipeline leverages a multimodal constraint autoencoder (single-cell hierarchical constraint autoencoder) to integrate the multi-omics data during the clustering process ...
Module 4: scMultiomics module The single cell Multiomics module can perform CITE-seq (RNA + Protein) and 10X Multiome (RNA + ATAC) analysis. It accepts input in 10X cellranger format. For CITE-seq data analysis, ezSingleCell supports data generated from TotalSeq A,B and C while for 10...
文献阅读1:scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI 别拽我尾巴a 1、使用的数据: 来源数据内容用途 CELLxGENE 人类PBMC集合 scRNA-seq 和 snRNA-seq 数据, 3300 万个正常细胞(无疾病条件) 用于构建全人类基础模型以及血液和癌症领域的预训练模型 多发性硬化症...
Here, we introduce scCross. At its foundation, scCross excels in its function of single-cell multi-omics data integration, bringing unparalleled precision to the assimilation of diverse data modalities. While preserving its primary proficiency in this arena, the most distinctive feature of scCross ...
scFusionTTT: Single-cell transcriptomics and proteomics fusion with Test-Time Training layers Single-cell multi-omics (scMulti-omics) refers to the paired multimodal data, such as Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-... D Meng,B Xing,X Huang,... 被引量: 0发...
SoloTM组织酶解试剂盒主要应用于从少量的新鲜或妥善冻存的组织样本中(人来源的临床肿瘤样本或移植物,小鼠来源的组织器官样本等),温和高效地获得高质量的(高细胞活力、足量细胞数目、较少细胞黏连和聚集)单细胞悬液。本产品采用了优化配比的复合消化酶配方,含有多种胶原酶及蛋白酶活性成分,既可快速有效地消化细胞外...
Methods: We propose a novel method called scMFG, which leverages feature grouping and group integration techniques for the integration of single-cell multi-omics data. By organizing features with similar characteristics within each omics layer through feature grouping. Furthermore, scMFG ensures a ...
In this study, we propose a new deep multi-level information fusion framework, named scMIC, for clustering single-cell multi-omics data. Our model can integrate the attribute information of cells and the potential structural relationship among cells from local and global levels, and reduce ...
scMoresDB re-analyzes single-cell multi-omics datasets, providing a user-friendly interface with cross-omics search capabilities, interactive visualizations, and analytical tools for comprehensive data sharing and integrative analysis. Our example applications highlight the potential significance of BSG ...