The effect of data transformation on low-dimensional integration of single-cell RNA-seq
Recent developments in single-cell RNA sequencing have opened up a multitude of possibilities to study…
Browsing: Statistical Analysis
scLENS – data-driven signal detection for unbiased scRNA-seq data analysis
Where the complexity of biological data meets the challenges of noise and high dimensionality, researchers…
TDEseq – temporal gene expression patterns from multi-sample multi-stage single-cell transcriptomics data
Understanding how genes behave over time is crucial for unlocking the secrets of development, disease…
Procrustes – a machine-learning approach that removes cross-platform batch effects from clinical RNA sequencing data
In personalized oncology, gene expression profiling has become increasingly vital for tailoring treatment strategies to…
cnnImpute – missing value recovery for single cell RNA sequencing data
In the world of biology, understanding the intricacies of diseases and cellular diversity has always…
scFed – federated learning for cell type classification with scRNA-seq
The advent of single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular heterogeneity and…
Cellograph – a semi-supervised approach to analyzing multi-condition single-cell RNA-sequencing data using graph neural networks
With the growing number of single-cell datasets collected under more complex experimental conditions, there is…
scBayes – a Bayesian framework to study tumor subclone–specific expression by combining bulk DNA and single-cell RNA sequencing data
Genetic and gene expression heterogeneity is an essential hallmark of many tumors, allowing the cancer…
Advancing single-cell RNA-seq data analysis through the fusion of multi-layer perceptron and graph neural network
The advancement of single-cell sequencing technology has smoothed the ability to do biological studies at…
scIALM – A method for sparse scRNA-seq expression matrix imputation using the Inexact Augmented Lagrange Multiplier with low error
Single-cell RNA sequencing (scRNA-seq) is a high-throughput sequencing technology that quantifies gene expression profiles of…