Results 61 to 70 of about 550,497 (328)

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
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, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Bio-Strings: A Relational Database Data-Type for Dealing with Large Biosequences

BioTech, 2022
DNA sequencers output a large set of very long biological data strings that we should persist in databases rather than basic text file systems. Many different data models and database management systems (DBMS) may deal with both storage and efficiency ...
Sergio Lifschitz, Edward H. Haeusler, Marcos Catanho, Antonio B. de Miranda, Elvismary Molina de Armas, Alexandre Heine, Sergio G. M. P. Moreira, Cristian Tristão   +7 more
doaj   +1 more source

Constraint processing in relational database systems: From theory to implementation

, 2010
Constraint satisfaction problems (CSP) are frequently solved over data residing in relational database systems. In such scenarios, the database is typically just used as a data storage back end. However, there exist important advantages, such as the wide
Zhang, Hantao, Schumacher, M., Palakal, M.J., Fletcher, G.H.L., Parekh, O., Siva, S., Lu, J.J., Hung, C.C., Shin, S.Y., Ossowski, S.   +9 more
core   +1 more source

Orthogonal Ionic Liquid‐Based Extraction Strategy Enables Amyloid‐Specific Profiling of Aggregate Proteome

Advanced Science, EarlyView.
An orthogonal ionic‐liquid extraction (Orth‐iEA) enables selective isolation of amyloid fibrils. TMGBF4 disrupts hydrogen‐bonded β‐sheet networks to solubilize amyloid aggregates, whereas C12ImCl interacts with hydrophobic regions of non‐amyloid proteins.
Shiying Zheng, Ye Liu, Bowen Zhong, Huiying Chu, Zhou Gong, Baofeng Zhao, Mengchun Cheng, Zhen Liang, Yukui Zhang, Qun Zhao, Lihua Zhang   +10 more
wiley   +1 more source

A performance analysis of a hybrid relational-XML approach to store partially-structured data [PDF]

, 2007
Nowadays, huge amounts of data are stored outside the rigid boundary of highly- structured and traditional database management systems, such as World Wide Web, application data that deals with non-standard data formats, legacy systems and structured ...
Abdel Kader, Yasser
core  

Comparing relational and non-relational database model

, 2021
Rad se bavi bazama podataka, točnije usporedbom relacijskih i nerelacijskih baza podataka. Najprije je detaljno razrađen teorijski dio o bazama podataka, njihovim modelima te novitetu – relacijskim bazama podataka.
Juričić, Kristina
core  

OBDA Over Non-Relational Databases [PDF]

, 2016
The database landscape has been significantly diversified during the last decade, resulting in the emergence of a variety of non-relational (also called NoSQL) databases, e.g., XML and JSON-document databases, key-value stores, and graph databases. To facilitate access to such databases and to enable data integration of non-relational data sources, we ...
Elena Botoeva, Diego Calvanese, Benjamin Cogrel, Martin Rezk, Guohui Xiao 0001   +4 more
openaire   +1 more source

Application of Non-Relational Databases in the Social Networks

BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 2019
<p>The purpose of this research is to present knowledge in the field of work of databases that contain semi-structured data, also known as NoSQL, in applications using large array data structures. The characteristics of the main categories of the non-relational databases and some of their typical representatives (MongoDB, Redis) have been ...
Miroslav Dechev, Miroslav Galabov, Tsvetanka Georgieva-Trifonova   +2 more
openaire   +1 more source

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

Advanced Science, EarlyView.
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen, Guancen Lin, Chuan‐Shen Hu, Yong Wang   +3 more
wiley   +1 more source