Results 241 to 250 of about 176,433 (328)
Biology-driven insights into the power of single-cell foundation models. [PDF]
Wu J +9 more
europepmc +1 more source
VOAR: A Visual and Integrated Ontology Alignment Environment
Bernardo Severo +2 more
openalex +1 more source
A novel modified SIRT6 variant (dSIRT6) H133Y‐mediated enrichment technique unmasks 15 new human lysine‐myristoylated proteins. Notably, Sirtuin 6 (SIRT6) demyristoylation of activating transcription factor 2 (ATF2) at K296 orchestrates its nucleoplasmic translocation.
Runyang Feng +40 more
wiley +1 more source
A fourfold pathogen reference ontology suite. [PDF]
Beverley J +10 more
europepmc +1 more source
SCRIPT is a novel method inferring single‐cell cis‐regulatory relationships (CRRs) from transcriptomic and chromatin accessibility data. SCRIPT incorporates two key innovations: graph causal attention networks supported by empirical CRR evidence, and representation learning enhanced through pretraining on atlas‐scale single‐cell data.
Yu Zhang +13 more
wiley +1 more source
An intelligent healthcare system for rare disease diagnosis utilizing electronic health records based on a knowledge-guided multimodal transformer framework. [PDF]
Abugabah A +3 more
europepmc +1 more source
Investigating Potential Alignments between Modelica Standard Library and SAREF Ontologies
Ana Roxin +2 more
openalex +1 more source
Schematic illustration of resident macrophages in Immune checkpoint inhibitor‐associated nephrotoxicity (ICI‐AN). Using an integrated approach (including imaging mass cytometry, transcriptomics, and murine models), this study reveals that resident macrophages drive immune‐stromal interactions in ICI‐AN, promoting fibroblast activation through CXCL9 and
Yanhong Ma +11 more
wiley +1 more source
Construction of intelligent decision support systems through integration of retrieval-augmented generation and knowledge graphs. [PDF]
Wang S, Yang H, Bai G.
europepmc +1 more source
SURF is a robust reference‐free deconvolution tool that integrates high‐dimensional spatial transcriptomics gene expression analysis with self‐supervised deep learning, enabling effective modeling of non‐linear gene interactions and spot relationships.
Shuyu Liang +9 more
wiley +1 more source

