Single-cell technologies in hepatology: new insights into liver biology and disease pathogenesis
P Ramachandran, KP Matchett, R Dobie… - Nature reviews …, 2020 - nature.com
Liver disease is a major global health-care problem, affecting an estimated 844 million
people worldwide. Despite this substantial burden, therapeutic options for liver disease …
people worldwide. Despite this substantial burden, therapeutic options for liver disease …
Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application
Alzheimer's disease (AD) is the most common form of dementia, characterized by
progressive cognitive impairment and neurodegeneration. Extensive clinical and genomic …
progressive cognitive impairment and neurodegeneration. Extensive clinical and genomic …
[HTML][HTML] CyTOF workflow: differential discovery in high-throughput high-dimensional cytometry datasets
High-dimensional mass and flow cytometry (HDCyto) experiments have become a method
of choice for high-throughput interrogation and characterization of cell populations. Here, we …
of choice for high-throughput interrogation and characterization of cell populations. Here, we …
[HTML][HTML] Comparison of clustering tools in R for medium-sized 10x Genomics single-cell RNA-sequencing data
Background: The commercially available 10x Genomics protocol to generate droplet-based
single cell RNA-seq (scRNA-seq) data is enjoying growing popularity among researchers …
single cell RNA-seq (scRNA-seq) data is enjoying growing popularity among researchers …
Deep structural clustering for single-cell RNA-seq data jointly through autoencoder and graph neural network
Single-cell RNA sequencing (scRNA-seq) permits researchers to study the complex
mechanisms of cell heterogeneity and diversity. Unsupervised clustering is of central …
mechanisms of cell heterogeneity and diversity. Unsupervised clustering is of central …
[HTML][HTML] Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival
Outcomes for cancer patients vary greatly even within the same tumor type, and
characterization of molecular subtypes of cancer holds important promise for improving …
characterization of molecular subtypes of cancer holds important promise for improving …
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI
Brain functional connectivity (FC) derived from resting-state functional magnetic resonance
imaging (rs-fMRI) has been widely employed to study neuropsychiatric disorders such as …
imaging (rs-fMRI) has been widely employed to study neuropsychiatric disorders such as …
Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder
Single-cell RNA sequencing (scRNA-seq) is a revolutionary breakthrough that determines
the precise gene expressions on individual cells and deciphers cell heterogeneity and …
the precise gene expressions on individual cells and deciphers cell heterogeneity and …
Endocrine lineage biases arise in temporally distinct endocrine progenitors during pancreatic morphogenesis
MA Scavuzzo, MC Hill, J Chmielowiec, D Yang… - Nature …, 2018 - nature.com
Decoding the molecular composition of individual Ngn3+ endocrine progenitors (EPs)
during pancreatic morphogenesis could provide insight into the mechanisms regulating …
during pancreatic morphogenesis could provide insight into the mechanisms regulating …
Single-cell RNA-seq clustering: datasets, models, and algorithms
Single-cell RNA sequencing (scRNA-seq) technologies allow numerous opportunities for
revealing novel and potentially unexpected biological discoveries. scRNA-seq clustering …
revealing novel and potentially unexpected biological discoveries. scRNA-seq clustering …