AtlasLens: Metadata-centric exploration and analysis of single-cell atlases
RANKOR: Direct Drug Prioritization from Bulk and Single-Cell Transcriptomic Signatures
Abstract Background Prioritizing therapeutics from transcriptomic data remains a key challenge in precision medicine. Signature reversal approaches, most commonly implemented …
Nikoletta Katsaouni
Prediction and evaluation of Split-ORFs using Ribo-seq data
Abstract Split Open Reading frames (Split-ORFs) occur in transcripts containing at least two open reading frames, each encoding a part of the same full-length protein. These …
miRXplain: explainable isomiR-aware microRNA target prediction using CLIP-L experiments and hybrid attention transformers
Abstract MicroRNAs (miRNAs) are textasciitilde22 nt long noncoding RNAs that repress genes by base-pairing with complementary sequences in target mRNAs. Variants known as isomiRs …
ranjan-kumar-maji
Hierarchical Representation Learning for Drug Mechanism-of-Action Prediction from Gene Expression Data
Abstract Deciphering drug mechanisms of action (MoAs) from transcriptional responses is key for discovery and repurposing. While recent machine learning approaches improve …
Nikoletta Katsaouni
An AI-based cell segmentation pipeline for studying immune markers from brightfield microscopy images
Abstract Background : Cell segmentation is a essential task in analysing the tumormicroenvironment (TME), which encompasses vascular cells and cells of theinnate and adaptive …
miriam-kohler
Interaction of inherited genetic variants in the NLRP3 inflammasome/IL-6 pathway with acquired clonal hematopoiesis to modulate mortality risk in patients with HFrEF
Abstract Aims Clonal hematopoiesis (CH), defined as the presence of an expanded blood cell clone due to acquired somatic mutations in leukemia driver genes, was shown to be …
sebastian-cremer