Tag: computational biology

A self-supervised language model called NucleicBERT offers researchers a new computational lens on the vast and poorly charted space of ...

A new computational simulator called TFdisc predicts how brain cells respond to transcription factor perturbations, revealing that schizophrenia and autism ...

Researchers have developed scFormer, a heterogeneous graph transformer framework that identifies rare cell states in single-cell and spatial transcriptomic data ...

Researchers have developed qMAP, a computational framework that quantifies how RNA cleavage patterns shift across development, inflammation, infertility, and aging, ...

A new high-performance tool called DartUniFrac enables phylogenetic microbiome diversity analysis at unprecedented scale, overcoming the computational limits of classical ...

Researchers at Brown University have developed SCIGMA, a deep learning framework that integrates up to five spatial omics modalities across ...

A new computational framework called IRIS uses perturbation screening data and transfer learning to reconstruct the signaling states and histories ...

A new framework called MutexaGPT aims to translate scientists' mechanistic intuitions into physics-grounded enzyme designs, combining large language models with ...

Researchers have developed a computational framework that integrates time-series single-cell RNA sequencing with spatial transcriptomics to reconstruct spatiotemporal cell-type redistribution ...

Researchers have introduced Joint-RPCA, a fast and accurate computational method that jointly integrates sparse, compositional multi-omics microbiome data to reveal ...