Tag: computational biology

Researchers have developed NMPPI, a lightweight deep learning framework that predicts protein-protein interactions using only sequence and network structure data ...

A new review in the Journal of Neuro-Oncology details how machine learning and computational frameworks applied to single-cell and spatial ...

Researchers have developed RecAlign, an A*-based sequence-to-graph aligner that efficiently handles recombination events and enables recombination-aware long-read mapping against chromosome-wide ...

Researchers have built React-to-Me, a grounded conversational AI for the Reactome Pathway Knowledgebase whose hybrid retrieval-augmented answers nearly tripled expert-rated ...

A Mississippi State mathematician has built a validated computational model showing how copper and zinc ions influence amyloid-beta plaque formation ...

A new physics-in neural network framework called GRNvelo unifies gene regulatory network dynamics with cell population behavior, accurately reconstructing cell ...

Researchers have developed DePass, a dual-enhanced graph learning framework that iteratively denoises and integrates paired multi-omics data across single-cell and ...

Researchers at Uniklinik RWTH Aachen have developed Genolator, a multimodal large language model that fuses DNA, amino acid, and protein ...

A new transformer-based framework called THIMDA fuses multi-modal microRNA and disease representations to predict disease associations with high accuracy.

Researchers at the University of Sydney have unveiled BenchHub, a community-driven ecosystem that standardises how datasets, metrics and ground truth ...