Querying Ontology Based Database Using OntoQL (An Ontology Query Language)
Stéphane Jean+2 more
openalex +2 more sources
Biomolecular Interaction Prediction: The Era of AI
This review offers a thorough examination of recent progress in deep learning for predicting biomolecular interactions, including those involving proteins, nucleic acids, and small molecules. It covers data processing strategies, representative model architectures, and evaluation metrics, while highlighting current methodological limitations.
Haoping Wang, Xiangjie Meng, Yang Zhang
wiley +1 more source
Differential expression analysis with inmoose, the integrated multi-omic open-source environment in Python. [PDF]
Colange M+5 more
europepmc +1 more source
AN EVALUATION OF A VISUAL QUERY LANGUAGE FOR INFORMATION SYSTEMS
Haifa Elsidani Elariss+2 more
openalex +1 more source
Interpretation of RNA Universe and Coding Potential Using IntRNA
This study constructs a multi‐channel deep learning framework IntRNA to interpret RNA universe and coding potential. IntRNA consistently performed the best among existing methods in various benchmarks. Moreover, IntRNA’s interpretability is also validated by real‐world analysis, which found some features indicating long‐distance contact between ...
Yunxia Wang+8 more
wiley +1 more source
From data silos to insights: the PRINCE multi-agent knowledge engine for preclinical drug development. [PDF]
Vieira-Vieira CH+5 more
europepmc +1 more source
Characterization and Reporting Protocols for Structural Power Composites: A Perspective
Here, the issues for testing and reporting on structural power composites are described: multifunctional materials that can carry loads while providing electrical energy. As well as proposing best practice, the development of a “universal coupon” is recommended for studying these materials and any interactions that occur between the two functions ...
Emile S. Greenhalgh+13 more
wiley +1 more source
Enhancing Solid Oxide Fuel Cells Development through Bayesian Active Learning
This article presents an active learning approach using Bayesian optimization to calibrate the multiphase‐field model parameters for simulating the aging of Ni‐GDC anodes in SOFCs. By integrating experimental data and navigating through complex parameter spaces, it enhances predictive accuracy and provides insights into microstructural evolution ...
R. K. Jeela+6 more
wiley +1 more source
Needle in a haystack: Coarse-to-fine alignment network for moment retrieval from large-scale video collections. [PDF]
Meng L, Liu F, Xin M, Guo S, Zou F.
europepmc +1 more source