Results 151 to 160 of about 7,092,434 (358)
Holographic Embeddings of Knowledge Graphs
Learning embeddings of entities and relations is an efficient and versatile method to perform machine learning on relational data such as knowledge graphs. In this work, we propose holographic embeddings (HolE) to learn compositional vector space representations of entire knowledge graphs.
Maximilian Nickel+2 more
openaire +4 more sources
Decrypting cancer's spatial code: from single cells to tissue niches
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik+4 more
wiley +1 more source
Caloric restriction that extends lifespan induces the expression of PGC‐1α and MIPEP in white adipose tissue. In this study, co‐overexpression of Pgc‐1α and Mipep upregulated the gene expression of PHOSPHO1. These findings provide new insights into mitochondria‐related mechanisms underlying the effects of caloric restriction in adipocytes.
Mamiko Ishimatsu+9 more
wiley +1 more source
Graph Partitioning Active Contours for Knowledge-Based Geo-Spatial Segmentation [PDF]
Baris Sumengen+2 more
openalex +1 more source
Nitric oxide‐forming nitrite reductases in the anaerobic ammonium oxidizer Kuenenia stuttgartiensis
Anammox bacteria remove fixed nitrogen from their environment via anaerobic ammonium oxidation (anammox) with nitrite as electron acceptor and dinitrogen gas as product. The first anammox step is the conversion of nitrite to nitric oxide by nitrite reductase.
Femke J. Vermeir+4 more
wiley +1 more source
Knowledge graphs are increasingly built using complex multifaceted machine learning-based systems relying on a wide of different data sources. To be effective these must constantly evolve and thus be maintained. Here work is presented on combining knowledge graph construction (e.g. information extraction) and refinement (e.g. link prediction) in end to
openaire +3 more sources
Patch‐clamp recordings revealed that tamoxifen inhibits voltage‐gated sodium channels, especially under acidic conditions, both common in metastatic cancer cells. These effects may explain certain antitumor properties of tamoxifen, highlighting a novel mechanism of action beyond its known endocrine effects.
Karl Josef Föhr+5 more
wiley +1 more source
Actionable Wearables Data for the Neurology Clinic: A Proof‐of‐Concept Tool
ABSTRACT Objective Wearable devices can monitor key health and fitness domains. In multiple sclerosis (MS), monitoring step count and sleep is feasible, valid, and offers a holistic glimpse of patient functioning and worsening. However, data generated from wearables are typically unavailable at the point of care.
Nicolette Miller+12 more
wiley +1 more source
Adopting Graph Traversal Techniques for Context-Driven Value Sets Extraction from Biomedical Knowledge Sources [PDF]
Jyotishman Pathak+4 more
openalex +1 more source
ABSTRACT Background Bladder dysfunction affects over 85% of people with multiple sclerosis (PwMS), yet current assessment methods are limited to periodic in‐clinic evaluations or subjective patient reports, failing to capture real‐world symptom fluctuations.
Valerie J. Block+8 more
wiley +1 more source