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 …

[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 …

[HTML][HTML] Machine intelligence in single-cell data analysis: advances and new challenges

J Liu, Z Fan, W Zhao, X Zhou - Frontiers in genetics, 2021 - frontiersin.org
The rapid development of single-cell technologies allows for dissecting cellular
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

I Gunawan, F Vafaee, E Meijering, JG Lock - Cell Reports Methods, 2023 - cell.com
Single-cell-resolved systems biology methods, including omics-and imaging-based
measurement modalities, generate a wealth of high-dimensional data characterizing the …

[HTML][HTML] Pinpointing cell identity in time and space

AF Savulescu, C Jacobs, Y Negishi… - Frontiers in Molecular …, 2020 - frontiersin.org
Mammalian cells display a broad spectrum of phenotypes, morphologies, and functional
niches within biological systems. Our understanding of mechanisms at the individual cellular …

[HTML][HTML] LISA2: learning complex single-cell trajectory and expression trends

Y Chen, Y Zhang, JYH Li, Z Ouyang - Frontiers in Genetics, 2021 - frontiersin.org
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 …

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 …

[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 …

[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 …