scTrans – sparse attention powers fast and accurate cell type annotation in single-cell RNA-seq data
Understanding the complex mix of cell types in tissues is a major challenge in biology,…
Browsing: Annotation
scPAS – single-cell phenotype-associated subpopulation identifier
Recent advancements in single-cell sequencing have allowed scientists to explore the complexity of tissues by…
ELATUS – uncovering functional lncRNAs by scRNA-seq
Long non-coding RNAs, or lncRNAs, are an important part of our genetic code, but they…
A new tool for plant long non-coding RNA identification
Long non-coding RNAs (lncRNAs) are ubiquitous transcripts with crucial regulatory roles in various biological processes,…
SifiNet – a robust and accurate method to identify feature gene sets and annotate cells
Understanding the distinct gene sets and subpopulations within heterogeneous cell populations is essential for unraveling…
GPTCelltype – large language model GPT-4 annotation of cell types using marker gene information in single-cell RNA sequencing analysis
In the fields of biology and genetics, single-cell RNA sequencing (scRNA-seq) has emerged as a…
CANAL – continually adapting pre-trained language model to universal annotation of single-cell RNA-seq data
Annotating cell types within single-cell RNA sequencing (scRNA-seq) datasets has posed a significant challenge, especially…
CAP-RNAseq – an integrated pipeline for functional annotation and prioritization of co-expression clusters
Cluster analysis is one of the most widely used exploratory methods for visualization and grouping…
scPML – pathway-based multi-view learning for cell type annotation from single-cell RNA-seq data
Recent developments in single-cell technology have enabled the exploration of cellular heterogeneity at an unprecedented…
dsRID – in silico identification of dsRNA regions using long-read RNA-seq data
Double-stranded RNAs (dsRNAs) are potent triggers of innate immune responses upon recognition by cytosolic dsRNA…