ELATUS – uncovering functional lncRNAs by scRNA-seq
Long non-coding RNAs, or lncRNAs, are an important part of our genetic code, but they…
Browsing: Other Tools
scGraphformer – unveiling cellular heterogeneity and interactions in scRNA-seq data using a scalable graph transformer network
Single-cell RNA sequencing (scRNA-seq) has become a cornerstone tool in modern biology, allowing researchers to…
REDalign – accurate RNA structural alignment using residual encoder-decoder network
RNA molecules are essential for various biological processes, and studying them helps scientists understand how…
ZINBStein – shrinkage estimation of gene interaction networks in single-cell RNA sequencing data
Understanding how genes interact with one another is crucial for unraveling the complexities of biological…
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…
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…