Results 31 to 40 of about 1,846,894 (263)

Macroarray expression analysis of cytokines and prostaglandin metabolism–related genes in chronic rhinosinusitis

Journal of Allergy and Clinical Immunology: Global, 2023
Background: Chronic rhinosinusitis (CRS) can be divided into endotypes by functional or pathophysiologic findings. Objective: The aim of this study was to analyze the expression of cytokines, prostaglandin (PG) synthases, and their receptors related to ...
Aiko Oka, MD, Kengo Kanai, MD, Takaya Higaki, MD, Seiichiro Makihara, MD, Yohei Noda, MD, Shin Kariya, MD, Mizuo Ando, MD, Wataru Nishimura, MD, Mitsuhiro Okano, MD   +8 more
doaj   +1 more source

Motif Clustering and Overlapping Clustering for Social Network Analysis

, 2017
Motivated by applications in social network community analysis, we introduce a new clustering paradigm termed motif clustering. Unlike classical clustering, motif clustering aims to minimize the number of clustering errors associated with both edges and ...
Dau, Hoang, Li, Pan, Milenkovic, Olgica, Puleo, Gregory   +3 more
core   +1 more source

Overlapping Multi-hop Clustering for Wireless Sensor Networks [PDF]

, 2009
Clustering is a standard approach for achieving efficient and scalable performance in wireless sensor networks. Traditionally, clustering algorithms aim at generating a number of disjoint clusters that satisfy some criteria. In this paper, we formulate a
Younis, Mohamed, Youssef, Adel, Youssef, Moustafa   +2 more
core   +1 more source

Cluster morphology analysis [PDF]

Spatial and Spatio-temporal Epidemiology, 2009
Most disease clustering methods assume specific shapes and do not evaluate statistical power using the applicable geography, at-risk population, and covariates. Cluster Morphology Analysis (CMA) conducts power analyses of alternative techniques assuming clusters of different relative risks and shapes.
openaire   +2 more sources

Exploratory Cluster-Based Radiographic Phenotyping of Degenerative Cervical Disorder: A Retrospective Study

Medicina
Background and Objectives: Degenerative cervical myelopathy (DCM), a major subtype of degenerative cervical disorders, presents with diverse sagittal alignment patterns. However, radiography-based phenotyping remains underexplored.
Si-Hyung Lew, Ye-Jin Jeong, Ye-Ri Roh, Dong-Ho Kang   +3 more
doaj   +1 more source

Medusa: A tool for exploring and clustering biological networks

BMC Research Notes, 2011
Background Biological processes such as metabolic pathways, gene regulation or protein-protein interactions are often represented as graphs in systems biology.
Sifrim Alejandro, Hooper Sean D, Pavlopoulos Georgios A, Schneider Reinhard, Aerts Jan   +4 more
doaj   +1 more source

Comparison of different strategies of utilizing fuzzy clustering in structure identification [PDF]

, 2007
Fuzzy systems approximate highly nonlinear systems by means of fuzzy "if-then" rules. In the literature, various algorithms are proposed for mining. These algorithms commonly utilize fuzzy clustering in structure identification.
Kılıç, Kemal, Türkşen, I. Burhan, Uncu, Özge   +2 more
core   +1 more source

Development and Application of Climate Zoning for Asphalt Pavements in China: A Review and Perspective

Atmosphere
Asphalt pavements are highly sensitive to climatic conditions, and their performance and longevity are significantly affected by temperature fluctuations, precipitation, and extreme weather events.
Huanyu Chang, Xuesen Wang, Naren Fang
doaj   +1 more source

Genetic algorithm based two-mode clustering of metabolomics data [PDF]

, 2008
Metabolomics and other omics tools are generally characterized by large data sets with many variables obtained under different environmental conditions.
Berg, R.A., van den, Hageman, J.A., Smilde, A.K., Werf, M.J., van der, Westerhuis, J.A.   +4 more
core   +3 more sources

Comparative Study on Supervised Learning Models for Productivity Forecasting of Shale Reservoirs Based on a Data-Driven Approach

Applied Sciences, 2020
Due to the rapid development of shale gas, a system has been established that can utilize a considerable amount of data using the database system.
Dongkwon Han, Jihun Jung, Sunil Kwon
doaj   +1 more source