Multi-omics integration for both single-cell and spatially resolved data based on dual-path graph attention auto-encoder
Single-cell multi-omics integration enables joint analysis at the single-cell level of resolution
to provide more accurate understanding of complex biological systems, while spatial multi …
to provide more accurate understanding of complex biological systems, while spatial multi …
[HTML][HTML] An adaptive approach to noisy annotations in scientific information extraction
Despite recent advances in large language models (LLMs), the best effectiveness in
information extraction (IE) is still achieved by fine-tuned models, hence the need for …
information extraction (IE) is still achieved by fine-tuned models, hence the need for …
Spatial network disintegration based on ranking aggregation
Disintegrating harmful networks presents a significant challenge, especially in spatial
networks where both topological and geospatial features must be considered. Existing …
networks where both topological and geospatial features must be considered. Existing …
Graph-induced rank-aggregation using information fusion operators
AH Keyhanipour - The Journal of Supercomputing, 2025 - Springer
Rank-aggregation, the process of fusing multiple ranked lists into a single unified ranking, is
a cornerstone of various information retrieval systems. Given the widespread adoption of …
a cornerstone of various information retrieval systems. Given the widespread adoption of …
Single-cell multi-omics and spatial multi-omics data integration via dual-path graph attention auto-encoder
T Lv, Y Zhang, J Liu, Q Kang, L Liu - bioRxiv, 2024 - biorxiv.org
Single-cell multi-omics data integration enables joint analysis of the resolution at single-cell
level to provide comprehensive and accurate understanding of complex biological systems …
level to provide comprehensive and accurate understanding of complex biological systems …
Cost-effective network disintegration through targeted enumeration
Finding an optimal subset of nodes or links to disintegrate harmful networks is a
fundamental problem in network science, with potential applications to anti-terrorism …
fundamental problem in network science, with potential applications to anti-terrorism …
Multi-strategy Fusion Improved Golden Jackal Optimization Algorithm and its Application in Parameter Estimation of the Muskingum Model.
W Jun, W Wen-chuan, QIU Lin… - China Rural Water & …, 2024 - search.ebscohost.com
A multi-strategy fusion improved Golden Jackal Optimization Algorithm (MGJO) is proposed
to address the shortcomings of the Golden Jackal Optimization Algorithm in solving complex …
to address the shortcomings of the Golden Jackal Optimization Algorithm in solving complex …