Statistical Analysis

baredSC – Bayesian approach to retrieve expression distribution of single-cell data

The number of studies using single-cell RNA sequencing (scRNA-seq) is constantly growing. This power...
scISR – a novel method for single-cell data imputation using subspace regression

Recent advances in biochemistry and single-cell RNA sequencing (scRNA-seq) have allowed us to monito...
Zero-preserving imputation of single-cell RNA-seq data

A key challenge in analyzing single cell RNA-sequencing data is the large number of false zeros, whe...
CIDER – an interpretable meta-clustering framework for single-cell RNA-seq data integration and evaluation

Clustering of joint single-cell RNA-Seq (scRNA-Seq) data is often challenged by confounding factors,...
MapCell – A Siamese neural network architecture for single cell gene expression

Large collections of annotated single-cell RNA sequencing (scRNA-seq) experiments are being generate...

rssNMF – A robust semi-supervised NMF model for single cell RNA-seq data

October 20, 2020 Leave a comment 2,141 Views

Single-cell RNA-sequencing (scRNA-seq) technology is a powerful tool to study organism from a single cell perspective and explore the heterogeneity between cells. Clustering is a fundamental step in scRNA-seq data analysis and it is the key to understand...

GeTallele – a method for analysis of DNA and RNA allele frequency distributions

October 13, 2020 Leave a comment 1,529 Views

Variant allele frequencies (VAF) are an important measure of genetic variation that can be estimated at single-nucleotide variant (SNV) sites. RNA and...

Hypercluster – a flexible tool for parallelized unsupervised clustering optimization

October 1, 2020 Leave a comment 1,813 Views

Unsupervised clustering is a common and exceptionally useful tool for large biological datasets. However, clustering requires upfront algorithm and hyperparameter selection, which can introduce bias into the final clustering labels. It is therefore...

Modeling RNA dynamics without metabolic labeling

September 28, 2020 Leave a comment 1,503 Views

Transcript’s abundance is typically considered a proxy of the corresponding genes transcriptional activity. Yet, a poorly transcribed gene could see many of its RNA molecules accumulate just because they are highly stable. Conversely, if a gene is very actively transcribed ...

A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count data

September 18, 2020 Leave a comment 1,730 Views

Gene co-expression networks (GCNs) are powerful tools that enable biologists to examine associations between genes during different biological processes. With the advancement of new technologies, such as...

tGPLVM – a robust nonlinear low-dimensional manifold for single cell RNA-seq data

August 25, 2020 Leave a comment 1,406 Views

Modern developments in single-cell sequencing technologies enable broad insights into cellular state. Single-cell RNA sequencing (scRNA-seq) can be used to explore cell types, states, and developmental trajectories to broaden our understanding of cellular...

Page 3 of 19«1 234 5 » 10...Last »

RNA-Seq Blog Transcriptome Research & Industry News

Statistical Analysis

baredSC – Bayesian approach to retrieve expression distribution of single-cell data

scISR – a novel method for single-cell data imputation using subspace regression

Zero-preserving imputation of single-cell RNA-seq data

CIDER – an interpretable meta-clustering framework for single-cell RNA-seq data integration and evaluation

MapCell – A Siamese neural network architecture for single cell gene expression

rssNMF – A robust semi-supervised NMF model for single cell RNA-seq data

GeTallele – a method for analysis of DNA and RNA allele frequency distributions

Hypercluster – a flexible tool for parallelized unsupervised clustering optimization

Modeling RNA dynamics without metabolic labeling

A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count data

tGPLVM – a robust nonlinear low-dimensional manifold for single cell RNA-seq data

Machine learning and single-cell RNA sequencing identify the neurons required to restore mobility

LinTIMaT – a novel statistical learning approach for tracing cell lineage

Souporcell – robust clustering of single-cell RNA-seq data by genotype without reference genotypes

PRIME – a probabilistic imputation method to reduce dropout effects in single cell RNA sequencing

How machine learning and RNA-seq are helping patients diagnosed with the most common childhood cancer

nf-rnaSeqCount – a Nextflow pipeline for obtaining raw read counts from RNA-seq data

Characterization and sequence mapping of large RNA and mRNA therapeutics using mass spectrometry

FIRM – Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasets

A LAMP sequencing approach for high-throughput co-detection of SARS-CoV-2 and influenza virus in human saliva

The modulatory role of ions in stem cell transcriptome dynamics by regulating lineage-specific gene expression patterns

Single cell RNA sequencing uncovers new mechanisms of heart disease