Results 41 to 50 of about 11,335,082 (272)

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Mining Weighted Temporal Association Rules in Dynamic Complex Systems via Non-Attributed Graph Sequence with Fuzzy Structure

Systems
Non-attributed graph sequence offers a powerful formalism for modeling the structural dynamics of complex systems—such as social networks, urban infrastructures, and document transmission pathways—where vertex interactions evolve over time without ...
Fang Li, Yiman Zhao, Xiao Wang
doaj   +1 more source

Improved optimization of numerical association rule mining using hybrid particle swarm optimization and cauchy distribution

International Journal of Electrical and Computer Engineering (IJECE), 2019
Particle Swarm Optimization (PSO) has been applied to solve optimization problems in various fields, such as Association Rule Mining (ARM) of numerical problems. However, PSO often becomes trapped in local optima.
Imam Tahyudin, Hidetaka Nambo
semanticscholar   +1 more source

arules - A Computational Environment for Mining Association Rules and Frequent Item Sets [PDF]

, 2005
Mining frequent itemsets and association rules is a popular and well researched approach for discovering interesting relationships between variables in large databases.
Bettina Grün, Kurt Hornik, Michael Hahsler, Michael Hahsler, Hahsler, Michael, Hornik, Kurt, Grün, Bettina   +6 more
core   +1 more source

Identification and characterisation of calcitonin receptor isoforms expressed in glioblastoma derived glioma stem and U‐87 MG cells

FEBS Open Bio, EarlyView.
Glioblastoma cells express calcitonin receptor variants (CT receptor isoforms) that may help them survive stress. Using qPCR, transcript‐specific long‐read nanopore sequencing, immunofluorescence co‐localisation and comparative sequence analysis, this study identifies a novel alternatively spliced CALCR transcript that encodes the CTb receptor isoform ...
Pragya Gupta, Sebastian GB Furness, Tahereh Gharbi, Ric De Paoli‐Iseppi, Shweta S. Joshi, Michael Clark, David L. Hare, Peter Wookey   +7 more
wiley   +1 more source

Investigating factors affecting electricity energy consumption using association rules(Case study: Yazd city) [PDF]

کاوش‌های جغرافیایی مناطق بیابانی
Extended Abstract:1. IntroductionElectricity is an essential input for all production systems and a necessity for all modern families. Hence, relevant energy policies are needed to induce efficient electricity consumption in the residential sector in ...
Alireza Sarsangi Aliabad, Ara Toomanian, Majid Kiavarz, Najme Neysani Samani, Mohammad Hossein Saraei   +4 more
doaj   +1 more source

Role Of Association Rule Mining In Numerical Data Analysis

, 2012
{"references": ["R. Agrawal; T. Imielinski; A. Swami: Mining Association\nRules Between Sets of Items in Large Databases\", SIGMOD Conference\n1993: 207-216", "Jochen Hipp, Ulrich G\u251c\u255dntzer, and Gholamreza Nakhaeizadeh.\nAlgorithms for association rule mining - A general survey and\ncomparison.
Jagtap, Sudhir, Kodge B., G., Shinde G., N., Devshette P. M   +3 more
openaire   +2 more sources

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Discovering Drug-Drug Interactions Using Association Rule Mining from Electronic Health Records [PDF]

, 2023
In this paper, we propose utilising Electronic Health Records (EHR) to discover previously unknown drug-drug interactions (DDI) that may result in high rates of hospital readmissions.
Chahed, S., Getting, S., Dwek, M., Chaussalet, T., Nazyrova, N.   +4 more
core   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source