multi-omics
Literature Sharing | J Am Chem Soc: Quantitative Analysis of Single-Cell High-Throughput Multi-Omics Aptomics
High-throughput sequencing technology is driving the life sciences towards a quantitative paradigm, but the sequencing technologies for antibodies, glycans, and other non-directly measurable molecules face challenges such as complex coupling steps, steric hindrance, and the labor-intensive nature of enzymatic chemical labeling. Aptamers, as nucleic acid molecules that can be sequenced directly, possess high specificity, broad … Read more
Upgraded ‘Mind Reading’ in the Cellular World! MultiKano: A Data Augmentation Method Based on Cutting-Edge Mathematics and AI to Decode Single-Cell Multi-Omics Identity Codes
Sharing an article co-authored by Associate Professor Chen Shengquan from Nankai University and Associate Professor Yang Qingzhu from the Capital University of Physical Education and Sports, published in the journal Protein & Cell. The title is “Development of MultiKano: An Automated Cell Type Annotation Tool Based on Kolmogorov-Arnold Networks and Data Augmentation for Cell Type … Read more
MultiKano: An Automatic Cell Type Annotation Method for Single-Cell Multi-Omics Data
The rapid development of single-cell multi-omics sequencing technology has made it possible to measure gene expression and chromatin accessibility simultaneously, providing a comprehensive view of gene regulatory mechanisms at single-cell resolution. Cell type annotation is a core step in the analysis of single-cell multi-omics data. Common cell type annotation methods typically involve unsupervised clustering followed … Read more
Deep Learning + Multi-Omics Data (DL + Multi-Omics): Applications in Cancer Research
Cancer, as a highly heterogeneous disease, involves complex changes across multiple layers, including the genome, epigenome, transcriptome, proteome, and metabolome. In recent years, with the rapid development of high-throughput sequencing technologies, the integrated analysis of multi-omics data has provided unprecedented opportunities for cancer research. Deep learning (DL) technology can analyze high-dimensional datasets to discover new … Read more
Exploring GeoMx DSP Applications in Cancer Research
Introduction GeoMx® Digital Spatial Profiler (DSP) is one of the leading revolutionary technologies that elevate spatial biology to new heights and is a core force in driving the forefront of spatial multi-omics research and clinical translation practices. It meets the research and application needs at different stages across various fields such as oncology, tumor immunology, … Read more
Development of uCoTargetX Technology for Single-Cell Multi-Protein Modification and Transcription Detection
◆ ◆ ◆ ◆ Sci Adv | Development of uCoTargetX Technology for Single-Cell Multi-Protein Modification and Transcription Detection Technological innovation is a crucial engine for modern life sciences research. Each iteration and update of biotechnology brings disruptive changes to the life sciences field. In recent years, single-cell sequencing technology has developed rapidly, propelling scientists worldwide … Read more
