Temporal modelling using single-cell transcriptomics

J Ding, N Sharon, Z Bar-Joseph - Nature Reviews Genetics, 2022 - nature.com
Methods for profiling genes at the single-cell level have revolutionized our ability to study
several biological processes and systems including development, differentiation, response …

Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application

M Wang, W Song, C Ming, Q Wang, X Zhou… - Molecular …, 2022 - Springer
Alzheimer's disease (AD) is the most common form of dementia, characterized by
progressive cognitive impairment and neurodegeneration. Extensive clinical and genomic …

Single-cell analysis in rheumatic and allergic diseases: insights for clinical practice

M Nishide, H Shimagami, A Kumanogoh - Nature Reviews Immunology, 2024 - nature.com
Since the advent of single-cell RNA sequencing (scRNA-seq) methodology, single-cell
analysis has become a powerful tool for exploration of cellular networks and dysregulated …

STGRNS: an interpretable transformer-based method for inferring gene regulatory networks from single-cell transcriptomic data

J Xu, A Zhang, F Liu, X Zhang - Bioinformatics, 2023 - academic.oup.com
Motivation Single-cell RNA-sequencing (scRNA-seq) technologies provide an opportunity to
infer cell-specific gene regulatory networks (GRNs), which is an important challenge in …

Fast and precise single-cell data analysis using a hierarchical autoencoder

D Tran, H Nguyen, B Tran, C La Vecchia… - Nature …, 2021 - nature.com
A primary challenge in single-cell RNA sequencing (scRNA-seq) studies comes from the
massive amount of data and the excess noise level. To address this challenge, we introduce …

Gene regulatory network reconstruction: harnessing the power of single-cell multi-omic data

D Kim, A Tran, HJ Kim, Y Lin, JYH Yang… - NPJ Systems Biology and …, 2023 - nature.com
Inferring gene regulatory networks (GRNs) is a fundamental challenge in biology that aims
to unravel the complex relationships between genes and their regulators. Deciphering these …

A comprehensive survey of the approaches for pathway analysis using multi-omics data integration

Z Maghsoudi, H Nguyen, A Tavakkoli… - Briefings in …, 2022 - academic.oup.com
Pathway analysis has been widely used to detect pathways and functions associated with
complex disease phenotypes. The proliferation of this approach is due to better …

Graph attention network for link prediction of gene regulations from single-cell RNA-sequencing data

G Chen, ZP Liu - Bioinformatics, 2022 - academic.oup.com
Motivation Single-cell RNA sequencing (scRNA-seq) data provides unprecedented
opportunities to reconstruct gene regulatory networks (GRNs) at fine-grained resolution …

spliceJAC: transition genes and state‐specific gene regulation from single‐cell transcriptome data

F Bocci, P Zhou, Q Nie - Molecular systems biology, 2022 - embopress.org
Extracting dynamical information from single‐cell transcriptomics is a novel task with the
promise to advance our understanding of cell state transition and interactions between …

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 …