scCTS – identifying the cell type-specific marker genes from population-level single-cell RNA-seq
Single-cell RNA sequencing (scRNA-seq) is an exciting tool in biology that lets researchers dive deep…
Browsing: Other Tools
scCM – self-supervised contrastive learning method for integrating large-scale CNS scRNA-seq data
The central nervous system (CNS) is incredibly complex, made up of many different types of…
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…
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…
IL-AD – adapting nanopore sequencing basecalling models for modification detection via incremental learning and anomaly detection
RNA modifications, such as N6-methyladenosine (m6A) and N1-methyladenosine (m1A), play critical roles in regulating gene…
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…
biVI – biophysical modeling with variational autoencoders for bimodal, single-cell RNA sequencing data
Understanding how genes are expressed in individual cells is key to unlocking the mysteries of…
sCIRCLE – an interactive visual exploration tool for single cell RNA-Seq data
A research team from HIRI and THWS develops a tool for visualizing single-cell data Modern…
dRNASb – a systems biology approach to decipher dynamics of host-pathogen interactions using temporal dual RNA-seq data
When our body gets infected, a complex battle ensues between our immune system and the…