Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a global
pandemic of coronavirus disease 2019 (COVID-19) since December 2019 that has led to …
pandemic of coronavirus disease 2019 (COVID-19) since December 2019 that has led to …
CAbiNet: joint clustering and visualization of cells and genes for single-cell transcriptomics
A fundamental analysis task for single-cell transcriptomics data is clustering with subsequent
visualization of cell clusters. The genes responsible for the clustering are only inferred in a …
visualization of cell clusters. The genes responsible for the clustering are only inferred in a …
Enhancer-driven gene regulatory networks inference from single-cell RNA-seq and ATAC-seq data
Deciphering the intricate relationships between transcription factors (TFs), enhancers, and
genes through the inference of enhancer-driven gene regulatory networks (eGRNs) is …
genes through the inference of enhancer-driven gene regulatory networks (eGRNs) is …
A road map for happiness: The psychological factors related cell types in various parts of human body from single cell RNA-seq data analysis
Z Wang, Y Zhang, Q Li, Q Zou, Q Liu - Computers in Biology and Medicine, 2022 - Elsevier
Massive evidence from all sources including zoology, neurobiology and immunology has
confirmed that psychological factors can raise remarkable physiological effects …
confirmed that psychological factors can raise remarkable physiological effects …
EnsemBic: An effective ensemble of biclustering to identify potential biomarkers of esophageal squamous cell carcinoma
The development of functionally enriched and biologically competent biclustering algorithm
is essential for extracting hidden information from massive biological datasets. This paper …
is essential for extracting hidden information from massive biological datasets. This paper …
CAbiNet: Joint visualization of cells and genes based on a gene-cell graph
In routine single-cell RNA-sequencing (scRNA-seq) analysis workflows, cells are commonly
visualized in 2D to show the patterns in the data. However, these visualization approaches …
visualized in 2D to show the patterns in the data. However, these visualization approaches …
Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning
Boolean matrix factorization (BMF) has been widely utilized in fields such as
recommendation systems, graph learning, text mining, and-omics data analysis. Traditional …
recommendation systems, graph learning, text mining, and-omics data analysis. Traditional …