FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2090266429> ?p ?o ?g. }

• W2090266429 endingPage "154" @default.
• W2090266429 startingPage "137" @default.
• W2090266429 abstract "Genome-wide transcription profiling is a powerful technique for studying the enormous complexity of cellular states. Moreover, when applied to disease tissue it may reveal quantitative and qualitative alterations in gene expression that give information on the context or underlying basis for the disease and may provide a new diagnostic approach. However, the data obtained from high-density microarrays is highly complex and poses considerable challenges in data mining. The data requires care in both pre-processing and the application of data mining techniques. This paper addresses the problem of dealing with microarray data that come from two known classes (Alzheimer and normal). We have applied three separate techniques to discover genes associated with Alzheimer disease (AD). The 67 genes identified in this study included a total of 17 genes that are already known to be associated with Alzheimer’s or other neurological diseases. This is higher than any of the previously published Alzheimer’s studies. Twenty known genes, not previously associated with the disease, have been identified as well as 30 uncharacterized expressed sequence tags (ESTs). Given the success in identifying genes already associated with AD, we can have some confidence in the involvement of the latter genes and ESTs. From these studies we can attempt to define therapeutic strategies that would prevent the loss of specific components of neuronal function in susceptible patients or be in a position to stimulate the replacement of lost cellular function in damaged neurons. Although our study is based on a relatively small number of patients (four AD and five normal), we think our approach sets the stage for a major step in using gene expression data for disease modeling (i.e. classification and diagnosis). It can also contribute to the future of gene function identification, pathology, toxicogenomics, and pharmacogenomics." @default.
• W2090266429 created "2016-06-24" @default.
• W2090266429 creator A5000469447 @default.
• W2090266429 creator A5000848809 @default.
• W2090266429 creator A5019572093 @default.
• W2090266429 creator A5030144225 @default.
• W2090266429 creator A5033923794 @default.
• W2090266429 creator A5078901573 @default.
• W2090266429 creator A5089654819 @default.
• W2090266429 date "2004-06-01" @default.
• W2090266429 modified "2023-10-16" @default.
• W2090266429 title "Data mining of gene expression changes in Alzheimer brain" @default.
• W2090266429 cites W112296866 @default.
• W2090266429 cites W134184183 @default.
• W2090266429 cites W1494081543 @default.
• W2090266429 cites W1504154695 @default.
• W2090266429 cites W1560623477 @default.
• W2090266429 cites W1584687555 @default.
• W2090266429 cites W1965956236 @default.
• W2090266429 cites W1974043792 @default.
• W2090266429 cites W1977813572 @default.
• W2090266429 cites W1977916691 @default.
• W2090266429 cites W1980899588 @default.
• W2090266429 cites W2001179326 @default.
• W2090266429 cites W2008113592 @default.
• W2090266429 cites W2011181388 @default.
• W2090266429 cites W2012093278 @default.
• W2090266429 cites W2035637908 @default.
• W2090266429 cites W2038354418 @default.
• W2090266429 cites W2039820498 @default.
• W2090266429 cites W2049132241 @default.
• W2090266429 cites W2065912508 @default.
• W2090266429 cites W2079474508 @default.
• W2090266429 cites W2081451334 @default.
• W2090266429 cites W2084121216 @default.
• W2090266429 cites W2088997949 @default.
• W2090266429 cites W2092949232 @default.
• W2090266429 cites W2093707752 @default.
• W2090266429 cites W2104143846 @default.
• W2090266429 cites W2134312057 @default.
• W2090266429 cites W2136911078 @default.
• W2090266429 cites W2146455987 @default.
• W2090266429 cites W2152825437 @default.
• W2090266429 cites W2161718456 @default.
• W2090266429 cites W4241511363 @default.
• W2090266429 doi "https://doi.org/10.1016/j.artmed.2004.01.008" @default.
• W2090266429 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/15219291" @default.
• W2090266429 hasPublicationYear "2004" @default.
• W2090266429 type Work @default.
• W2090266429 sameAs 2090266429 @default.
• W2090266429 citedByCount "56" @default.
• W2090266429 countsByYear W20902664292012 @default.
• W2090266429 countsByYear W20902664292013 @default.
• W2090266429 countsByYear W20902664292014 @default.
• W2090266429 countsByYear W20902664292015 @default.
• W2090266429 countsByYear W20902664292016 @default.
• W2090266429 countsByYear W20902664292017 @default.
• W2090266429 countsByYear W20902664292019 @default.
• W2090266429 countsByYear W20902664292020 @default.
• W2090266429 countsByYear W20902664292021 @default.
• W2090266429 crossrefType "journal-article" @default.
• W2090266429 hasAuthorship W2090266429A5000469447 @default.
• W2090266429 hasAuthorship W2090266429A5000848809 @default.
• W2090266429 hasAuthorship W2090266429A5019572093 @default.
• W2090266429 hasAuthorship W2090266429A5030144225 @default.
• W2090266429 hasAuthorship W2090266429A5033923794 @default.
• W2090266429 hasAuthorship W2090266429A5078901573 @default.
• W2090266429 hasAuthorship W2090266429A5089654819 @default.
• W2090266429 hasBestOaLocation W20902664292 @default.
• W2090266429 hasConcept C104317684 @default.
• W2090266429 hasConcept C14036430 @default.
• W2090266429 hasConcept C141231307 @default.
• W2090266429 hasConcept C142724271 @default.
• W2090266429 hasConcept C150194340 @default.
• W2090266429 hasConcept C151730666 @default.
• W2090266429 hasConcept C18431079 @default.
• W2090266429 hasConcept C186836561 @default.
• W2090266429 hasConcept C2779134260 @default.
• W2090266429 hasConcept C2779343474 @default.
• W2090266429 hasConcept C502032728 @default.
• W2090266429 hasConcept C54355233 @default.
• W2090266429 hasConcept C60644358 @default.
• W2090266429 hasConcept C70721500 @default.
• W2090266429 hasConcept C71924100 @default.
• W2090266429 hasConcept C8415881 @default.
• W2090266429 hasConcept C86803240 @default.
• W2090266429 hasConcept C95371953 @default.
• W2090266429 hasConceptScore W2090266429C104317684 @default.
• W2090266429 hasConceptScore W2090266429C14036430 @default.
• W2090266429 hasConceptScore W2090266429C141231307 @default.
• W2090266429 hasConceptScore W2090266429C142724271 @default.
• W2090266429 hasConceptScore W2090266429C150194340 @default.
• W2090266429 hasConceptScore W2090266429C151730666 @default.
• W2090266429 hasConceptScore W2090266429C18431079 @default.
• W2090266429 hasConceptScore W2090266429C186836561 @default.
• W2090266429 hasConceptScore W2090266429C2779134260 @default.
• W2090266429 hasConceptScore W2090266429C2779343474 @default.
• W2090266429 hasConceptScore W2090266429C502032728 @default.

• next