Research progress of single-cell transcriptome sequencing in autoimmune diseases and autoinflammatory disease: A review
L Zeng, K Yang, T Zhang, X Zhu, W Hao, H Chen… - Journal of …, 2022 - Elsevier
Autoimmunity refers to the phenomenon that the body's immune system produces antibodies
or sensitized lymphocytes to its own tissues to cause an immune response. Immune …
or sensitized lymphocytes to its own tissues to cause an immune response. Immune …
[HTML][HTML] What are the applications of single-cell RNA sequencing in cancer research: a systematic review
L Li, F Xiong, Y Wang, S Zhang, Z Gong, X Li… - Journal of Experimental …, 2021 - Springer
Single-cell RNA sequencing (scRNA-seq) is a tool for studying gene expression at the
single-cell level that has been widely used due to its unprecedented high resolution. In the …
single-cell level that has been widely used due to its unprecedented high resolution. In the …
[HTML][HTML] Machine intelligence in single-cell data analysis: advances and new challenges
The rapid development of single-cell technologies allows for dissecting cellular
heterogeneity at different omics layers with an unprecedented resolution. In-dep analysis of …
heterogeneity at different omics layers with an unprecedented resolution. In-dep analysis of …
[HTML][HTML] An introduction to representation learning for single-cell data analysis
Single-cell-resolved systems biology methods, including omics-and imaging-based
measurement modalities, generate a wealth of high-dimensional data characterizing the …
measurement modalities, generate a wealth of high-dimensional data characterizing the …
[HTML][HTML] Pinpointing cell identity in time and space
Mammalian cells display a broad spectrum of phenotypes, morphologies, and functional
niches within biological systems. Our understanding of mechanisms at the individual cellular …
niches within biological systems. Our understanding of mechanisms at the individual cellular …
[HTML][HTML] LISA2: learning complex single-cell trajectory and expression trends
Single-cell transcriptional and epigenomics profiles have been applied in a variety of tissues
and diseases for discovering new cell types, differentiation trajectories, and gene regulatory …
and diseases for discovering new cell types, differentiation trajectories, and gene regulatory …
A Generative Adversarial Network Approach for Efficient Integration of Large-Scale Single-Cell Data
G Yang, J Peng, X Xie, Z Bao, Y Wang, T Wang… - Available at SSRN … - papers.ssrn.com
Large-scale integration of single-cell data across diverse studies offers the potential for
unveiling biological insights and has become a standard procedure in single-cell data …
unveiling biological insights and has become a standard procedure in single-cell data …
[PDF][PDF] What are the applications of single-cell RNA sequencing in cancer research: a systematic
L Li, F Xiong, Y Wang, S Zhang, Z Gong, X Li, Y He… - 2021 - jeccr.biomedcentral.com
Single-cell RNA sequencing (scRNA-seq) is a tool for studying gene expression at the
single-cell level that has been widely used due to its unprecedented high resolution. In the …
single-cell level that has been widely used due to its unprecedented high resolution. In the …
[引用][C] MLBKFD: Probabilistic Model Methods to Infer Pseudo Trajectories from Single-cell Data
C Han, W Cao, C Li, Y Guo, Y Wang, YZ Shi… - Journal of …, 2024 - World Scientific
Cell trajectory inference is very important to understand the details of tissue cell
development, state differentiation and gene dynamic regulation. However, due to the high …
development, state differentiation and gene dynamic regulation. However, due to the high …