DLRNA-BERTa is introduced, a RoBERTa-based framework that integrates RNA-BERTa and ChemBERTa-v2 to model molecule–RNA binding affinities and has potential utility for RNA-based drug repurposing and prioritization of candidate molecules for further investigation.
Pasquale Lobascio, Khalid Saeed, Asifullah Khan et al.· Briefings in Bioinformatics· 0 citations
Bulk and single-cell RNA sequencing has become essential for investigating disease mechanisms and identifying diagnostic biomarkers, but the growing volume of transcriptomic data remains difficult to reuse efficiently for many researchers.
Umair Seemab, Katri Vainionpaa, Ziaurrehman Tanoli et al.· 0 citations
Bulk RNA-seq and single-cell RNA-seq (scRNA-seq) are widely used to investigate gene-expression changes, but downstream analysis often requires multiple statistical, visualization, and reporting tools, creating fragmented workflows that are difficult to configure and reproduce. We developed CoTRA (Comprehensive Toolbox...
PrimeKG-Plus restores the temporal relevance of PrimeKG, providing an updated resource for drug repurposing, rare-disease research, and downstream machine-learning applications.
Trinh-Trung-Duong Nguyen, T. Nguyen-Phuong, Quy-Hoai Nguyen et al.· bioRxiv· 0 citations
Bulk and single-cell RNA sequencing (scRNA-seq) have become essential for investigating disease mechanisms and identifying diagnostic biomarkers. However, the growing volume of transcriptomic data remains difficult to reuse efficiently for many researchers. Downstream analysis often requires multiple statistical, visua...
