Clustering analysis revealed the autophagy classification and potential autophagy regulators' sensitivity of pancreatic cancer based on multi‐omics data
Sign Up to like & getrecommendations! Published in 2022 at "Cancer Medicine"
DOI: 10.1002/cam4.4932
Abstract: Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy and is unresponsive to conventional therapeutic modalities due to its high heterogeneity, expounding the necessity, and priority of searching for effective biomarkers and drugs. Autophagy, as an… read more here.
Keywords: revealed autophagy; analysis revealed; clustering analysis; classification potential ... See more keywords
Classifying multicenter approaches to invasive mechanical ventilation for infants with bronchopulmonary dysplasia using hierarchical clustering analysis.
Sign Up to like & getrecommendations! Published in 2023 at "Pediatric pulmonology"
DOI: 10.1002/ppul.26488
Abstract: INTRODUCTION Evidence-based ventilation strategies for infants with severe bronchopulmonary dysplasia (BPD) remain unknown. Determining whether contemporary ventilation approaches cluster as specific BPD strategies may better characterize care and enhance the design of clinical trials. The objective… read more here.
Keywords: multicenter; ventilation; clustering analysis; mechanical ventilation ... See more keywords
Proteomic Clustering Analysis of SH2 Domain Datasets.
Sign Up to like & getrecommendations! Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-6762-9_7
Abstract: Proteomic clustering analysis provides a means of identifying relationships and visualizing those relationships in an extremely complex field of study with many interacting parts. With recent high-throughput studies of Src Homology 2 (SH2) domains, many… read more here.
Keywords: sh2 domains; proteomic clustering; analysis sh2; analysis ... See more keywords
An unsupervised and robust validity index for clustering analysis
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-018-3582-2
Abstract: The evaluation of clustering results plays an important role in clustering analysis and usually is completed by a validity index or several. But currently existing validity indexes are supervised since they greatly depend on prior… read more here.
Keywords: validity indexes; clustering analysis; validity index; index ... See more keywords
On generalized correlation coefficients of the hesitant fuzzy sets with their application to clustering analysis
Sign Up to like & getrecommendations! Published in 2019 at "Computational and Applied Mathematics"
DOI: 10.1007/s40314-019-0765-0
Abstract: Hesitant fuzzy sets (HFSs) are considered as a powerful tool to deal with uncertain information in the problems of group decision making (GDM). To measure the degree of association between the two HFSs various correlation… read more here.
Keywords: fuzzy sets; clustering analysis; correlation coefficients; correlation ... See more keywords
Clustering analysis for pervaporation performance assessment of alginate hybrid membranes in dehydration of ethanol
Sign Up to like & getrecommendations! Published in 2019 at "Chemical Engineering Research and Design"
DOI: 10.1016/j.cherd.2019.02.027
Abstract: Abstract Pervaporative dehydration of 96 vol% ethanol solutionwas used as an experimental model for the determination of hybrid alginate membranes separation performance. Series of membranes filled with different metal oxides particles (magnetite, zinc, silver, titanium(IV) and… read more here.
Keywords: dehydration; performance; clustering analysis; analysis pervaporation ... See more keywords
Efficient multiscale modeling for woven composites based on self-consistent clustering analysis
Sign Up to like & getrecommendations! Published in 2020 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2020.112929
Abstract: Abstract Multiscale simulation of woven composites structure remains a challenge due to extremely expensive computational cost for solving the nonlinear woven Representative Volume Element (RVE). Recently, an effective and efficient Reduced Order modeling method, namely… read more here.
Keywords: self consistent; efficient multiscale; clustering analysis; woven composites ... See more keywords
K-means clustering analysis and evaluation for internet of acoustic environment characteristics
Sign Up to like & getrecommendations! Published in 2018 at "Cognitive Systems Research"
DOI: 10.1016/j.cogsys.2018.08.009
Abstract: Abstract In order to improve the validity of acoustic environment characteristic analysis of university libraries, an evaluation study method of acoustic environment characteristic cluster analysis of university libraries was proposed based on the modified Cop-Kmeans… read more here.
Keywords: means clustering; acoustic environment; evaluation; clustering analysis ... See more keywords
Assessing Cardiac Amyloidosis Subtypes by Unsupervised Phenotype Clustering Analysis.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the American College of Cardiology"
DOI: 10.1016/j.jacc.2021.09.858
Abstract: BACKGROUND Cardiac amyloidosis (CA) is a set of amyloid diseases with usually predominant cardiac symptoms, including light-chain amyloidosis (AL), hereditary variant transthyretin amyloidosis (ATTRv), and wild-type transthyretin amyloidosis (ATTRwt). CA are characterized by high heterogeneity… read more here.
Keywords: diagnosis; prognosis; amyloidosis; clustering analysis ... See more keywords
A robust methodology for modal parameters estimation applied to SHM
Sign Up to like & getrecommendations! Published in 2017 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2017.03.021
Abstract: Abstract The subject of structural health monitoring is drawing more and more attention over the last years. Many vibration-based techniques aiming at detecting small structural changes or even damage have been developed or enhanced through… read more here.
Keywords: methodology; methodology modal; step; modal parameters ... See more keywords
Assessing compression algorithms to improve the efficiency of clustering analysis on AIS vessel trajectories
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2022.2163494
Abstract: Abstract In the maritime environment, the Automatic Identification System (AIS) is used to monitor vessel activity concerning security and safety ocean-wide. AIS data has been used to detect anomalous behaviors related to suspicious activities and… read more here.
Keywords: vessel trajectories; compression algorithms; analysis; compression ... See more keywords