scAMF – single-cell analysis via manifold fitting – a framework for RNA clustering and beyond
Single-cell RNA sequencing (scRNA-seq) has become a vital tool in biology, allowing scientists to study…
Browsing: Analysis Pipelines
scDist – robust identification of perturbed cell types in single-cell RNA-seq data
Single-cell transcriptomics is a powerful technique that allows scientists to study how individual cells behave…
NASC-seq2 – principles of transcription at the resolution of individual bursts
Imagine a factory where products are made in short, intense bursts rather than in a…
METI – deep profiling of tumor ecosystems by integrating cell morphology and spatial transcriptomics
In the ever-evolving field of cancer research, scientists are continuously developing new ways to study…
CDCA – community detection in RNA-seq data using centrality-based approach
When studying complex diseases like schizophrenia and bipolar disorder, understanding how genes interact with each…
scParser – sparse representation learning for scalable single-cell RNA sequencing data analysis
The field of single-cell RNA sequencing (scRNA-seq) has grown rapidly, allowing researchers to explore gene…
PRESS – a Platelet Reactivity ExpreSsion Score derived from patients with peripheral artery disease predicts cardiovascular risk
Platelets, tiny cells in our blood, play a critical role in stopping bleeding by forming…
WebAtlas pipeline for integrated single-cell and spatial transcriptomic data
Single cell RNA-sequencing (scRNA-seq) and spatial transcriptomics (ST) are powerful techniques that offer complementary insights…
COMSE – analysis of single-cell RNA-seq data using community detection-based feature selection
Single-cell RNA sequencing (scRNA-seq) is a powerful technique that allows scientists to study individual cells…
Global transcription regulation revealed from dynamical correlations in time-resolved single-cell RNA sequencing
Researchers at the Imperial College London have developed a new model that helps us understand…