Modelling capture efficiency of single-cell RNA-sequencing data improves inference of transcriptome-wide burst kinetics
Gene expression is characterised by stochastic bursts of transcription that occur at brief and random…
Browsing: Other Tools
scSemiAAE – a semi-supervised clustering model for single-cell RNA-seq data
Single-cell RNA sequencing (scRNA-seq) strives to capture cellular diversity with higher resolution than bulk RNA…
RNAincoder – a deep learning-based encoder for RNA and RNA-associated interaction
Ribonucleic acids (RNAs) involve in various physiological/pathological processes by interacting with proteins, compounds, and other…
scSELpy – manual cell selection in single cell transcriptomics for analysis of immune cell subsets
Single cell RNA sequencing plays an increasing and indispensable role in immunological research such as…
GuiltyTargets-COVID-19 – a machine learning method for the identification and characterization of novel COVID-19 drug targets from bulk and scRNA-Seq data
In addition to vaccines, the World Health Organization sees novel medications as an urgent matter…
scSpace – reconstruction of the cell pseudo-space from single-cell RNA sequencing data
Tissues are highly complicated with spatial heterogeneity in gene expression. However, the cutting-edge single-cell RNA-seq…
Nano-DMS-MaP – isoform-specific RNA structure determination
Genome-wide measurements of RNA structure can be obtained using reagents that react with unpaired bases,…
CloneTracer – clonally resolved single-cell multi-omics
Researchers have developed a new method to distinguish between cancerous and healthy stem cells and…
Read2Tree – inference of phylogenetic trees directly from raw sequencing reads
Current methods for inference of phylogenetic trees require running complex pipelines at substantial computational and…
Gene filtering strategies for machine learning guided biomarker discovery using neonatal sepsis RNA-seq data
Machine learning (ML) algorithms are powerful tools that are increasingly being used for sepsis biomarker…