FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022157941> ?p ?o ?g. }

• W2022157941 abstract "Background: Microarray technology allows to measure the expression of thousands of genes simultaneously, and under tens of specific conditions. Clustering and Biclustering are the main tools to analyze gene expression data obtained from microarray experiments. By grouping together genes with the same behavior across samples, relevant biological knowledge may be extracted. Non-exclusive groupings are required, since a gene may play more than one biological role. Gene Shaving [Hastie, T., et al. (2000). Gene Shaving as a method for identifying distinct sets of genes with similar expression. Genome Biology, 1, 1-21] is a popular clustering algorithm which looks for coherent clusters of genes with high variance across samples, allowing overlapping among the clusters. Method: In this paper, we present an intelligent system for analyzing microarray data. Our system implements three novel non-exclusive approaches for clustering and biclustering whose aim is to find coherent groups of genes with large between-sample variance: EDA-Clustering and EDA-Biclustering, based on Estimation of Distribution Algorithms (EDA), and Gene-&-Sample Shaving, a biclustering algorithm based on Principal Components Analysis. Results: We integrated the three proposed methods into a web-based platform and tested their performance on two real datasets. The obtained results outperform Gene Shaving in terms of quality and size of revealed patterns. Furthermore, our system allows to visualize the results and validate them from a biological point of view by means of the annotations of the Gene Ontology." @default.
• W2022157941 created "2016-06-24" @default.
• W2022157941 creator A5006253386 @default.
• W2022157941 creator A5056119957 @default.
• W2022157941 creator A5074274486 @default.
• W2022157941 creator A5091419198 @default.
• W2022157941 date "2009-04-01" @default.
• W2022157941 modified "2023-09-30" @default.
• W2022157941 title "Intelligent system for the analysis of microarray data using principal components and estimation of distribution algorithms" @default.
• W2022157941 cites W1493217831 @default.
• W2022157941 cites W1527927437 @default.
• W2022157941 cites W1540706608 @default.
• W2022157941 cites W1564049492 @default.
• W2022157941 cites W1774711529 @default.
• W2022157941 cites W193615737 @default.
• W2022157941 cites W1983524036 @default.
• W2022157941 cites W2023416945 @default.
• W2022157941 cites W2023971898 @default.
• W2022157941 cites W2036328877 @default.
• W2022157941 cites W2085349009 @default.
• W2022157941 cites W2115875363 @default.
• W2022157941 cites W2125138557 @default.
• W2022157941 cites W2130095365 @default.
• W2022157941 cites W2130158951 @default.
• W2022157941 cites W2133111499 @default.
• W2022157941 cites W2135000328 @default.
• W2022157941 cites W2135187880 @default.
• W2022157941 cites W2136107412 @default.
• W2022157941 cites W2137167578 @default.
• W2022157941 cites W2139015486 @default.
• W2022157941 cites W2141012957 @default.
• W2022157941 cites W2142460132 @default.
• W2022157941 cites W2144544802 @default.
• W2022157941 cites W2147246240 @default.
• W2022157941 cites W2150718242 @default.
• W2022157941 cites W2150926065 @default.
• W2022157941 cites W2161073810 @default.
• W2022157941 cites W2166574880 @default.
• W2022157941 cites W2168811230 @default.
• W2022157941 cites W2230939080 @default.
• W2022157941 cites W1593486402 @default.
• W2022157941 doi "https://doi.org/10.1016/j.eswa.2008.06.030" @default.
• W2022157941 hasPublicationYear "2009" @default.
• W2022157941 type Work @default.
• W2022157941 sameAs 2022157941 @default.
• W2022157941 citedByCount "13" @default.
• W2022157941 countsByYear W20221579412012 @default.
• W2022157941 countsByYear W20221579412013 @default.
• W2022157941 countsByYear W20221579412014 @default.
• W2022157941 countsByYear W20221579412016 @default.
• W2022157941 countsByYear W20221579412017 @default.
• W2022157941 crossrefType "journal-article" @default.
• W2022157941 hasAuthorship W2022157941A5006253386 @default.
• W2022157941 hasAuthorship W2022157941A5056119957 @default.
• W2022157941 hasAuthorship W2022157941A5074274486 @default.
• W2022157941 hasAuthorship W2022157941A5091419198 @default.
• W2022157941 hasConcept C104317684 @default.
• W2022157941 hasConcept C121955636 @default.
• W2022157941 hasConcept C124101348 @default.
• W2022157941 hasConcept C144133560 @default.
• W2022157941 hasConcept C144817290 @default.
• W2022157941 hasConcept C150194340 @default.
• W2022157941 hasConcept C154945302 @default.
• W2022157941 hasConcept C17212007 @default.
• W2022157941 hasConcept C196083921 @default.
• W2022157941 hasConcept C24361400 @default.
• W2022157941 hasConcept C27438332 @default.
• W2022157941 hasConcept C33704608 @default.
• W2022157941 hasConcept C41008148 @default.
• W2022157941 hasConcept C54355233 @default.
• W2022157941 hasConcept C73555534 @default.
• W2022157941 hasConcept C8415881 @default.
• W2022157941 hasConcept C86803240 @default.
• W2022157941 hasConcept C92835128 @default.
• W2022157941 hasConcept C95371953 @default.
• W2022157941 hasConceptScore W2022157941C104317684 @default.
• W2022157941 hasConceptScore W2022157941C121955636 @default.
• W2022157941 hasConceptScore W2022157941C124101348 @default.
• W2022157941 hasConceptScore W2022157941C144133560 @default.
• W2022157941 hasConceptScore W2022157941C144817290 @default.
• W2022157941 hasConceptScore W2022157941C150194340 @default.
• W2022157941 hasConceptScore W2022157941C154945302 @default.
• W2022157941 hasConceptScore W2022157941C17212007 @default.
• W2022157941 hasConceptScore W2022157941C196083921 @default.
• W2022157941 hasConceptScore W2022157941C24361400 @default.
• W2022157941 hasConceptScore W2022157941C27438332 @default.
• W2022157941 hasConceptScore W2022157941C33704608 @default.
• W2022157941 hasConceptScore W2022157941C41008148 @default.
• W2022157941 hasConceptScore W2022157941C54355233 @default.
• W2022157941 hasConceptScore W2022157941C73555534 @default.
• W2022157941 hasConceptScore W2022157941C8415881 @default.
• W2022157941 hasConceptScore W2022157941C86803240 @default.
• W2022157941 hasConceptScore W2022157941C92835128 @default.
• W2022157941 hasConceptScore W2022157941C95371953 @default.
• W2022157941 hasLocation W20221579411 @default.
• W2022157941 hasOpenAccess W2022157941 @default.
• W2022157941 hasPrimaryLocation W20221579411 @default.
• W2022157941 hasRelatedWork W1013519362 @default.
• W2022157941 hasRelatedWork W1515136695 @default.
• W2022157941 hasRelatedWork W1543399081 @default.

• next