Results 71 to 80 of about 192,264 (279)
SiCmiR Atlas: Single‐Cell miRNA Landscape Reveals Hub‐miRNA and Network Signatures in Human Cancers
SiCmiR predicts mature miRNA activity at single‐cell resolution using only 977 landmark genes, enabling scalable reconstruction of miRNA landscapes across diverse tissues and disease contexts. The SiCmiR Atlas integrates 9.36 million cells with analytical tools for hub‐miRNA discovery, biomarker prioritization, and regulatory network interrogation ...
Xiao‐Xuan Cai +12 more
wiley +1 more source
Visualizing repository metadata
Greenstone has released an OAI metadata analysis tool for "producing statistics and visualisations of repository metadata".
openaire +1 more source
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang +12 more
wiley +1 more source
Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi +4 more
wiley +1 more source
Experimental DML over digital repositories in Japan [PDF]
In this paper the authors show an overview of Virtual Digital Mathematics Library in Japan (DML-JP), contents of which consist of metadata harvested from institutional repositories in Japan and digital repositories in the world.
Kuroda, Hiraku +2 more
core +2 more sources
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
Based on ''Guidelines for metadata creation and management in the Institutional Repositories'' (CRUI, Italy, 2012) and ''LODE-BD Recommendations'' (AIMS, 2012), and exploring other principles and strategies for qualitative development of metadata ...
Iryna Solodovnik
doaj +6 more sources
A Genomic Catalog of Migratory Microbiomes from Wild Birds across China's Habitats
ABSTRACT Migratory birds play an important role in the spread of antimicrobial resistance (AMR); however, gaps in surveillance data from vital regions along migratory flyways across China limit the detection of emergent threats. Here, we assembled 340 metagenomes from 52 bird species covering 11 provincial administrative districts in China, presenting ...
Yanan Wang +13 more
wiley +1 more source
Developing an automatic metadata harvesting and generation system for a continuing education repository: a pilot study [PDF]
The goal of this pilot study is to assess the accuracy and reliability of an automated metadata generation and harvesting system developed for a project repository which hosts continuing education resources for cataloging and metadata professionals ...
Park, Jung-ran
core +1 more source

