Sökning: onr:"swepub:oai:DiVA.org:kth-150681" >
Gene selection in t...
-
Adhikari, P. R.
(författare)
Gene selection in time-series gene expression data
- Artikel/kapitelEngelska2011
Förlag, utgivningsår, omfång ...
-
Berlin, Heidelberg :Springer Berlin Heidelberg,2011
-
printrdacarrier
Nummerbeteckningar
-
LIBRIS-ID:oai:DiVA.org:kth-150681
-
https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-150681URI
-
https://doi.org/10.1007/978-3-642-24855-9_13DOI
Kompletterande språkuppgifter
-
Språk:engelska
-
Sammanfattning på:engelska
Ingår i deldatabas
Klassifikation
-
Ämneskategori:ref swepub-contenttype
-
Ämneskategori:kon swepub-publicationtype
Anmärkningar
-
QC 20140909
-
The dimensionality of biological data is often very high. Feature selection can be used to tackle the problem of high dimensionality. However, majority of the work in feature selection consists of supervised feature selection methods which require class labels. The problem further escalates when the data is time-series gene expression measurements that measure the effect of external stimuli on biological system. In this paper we propose an unsupervised method for gene selection from time-series gene expression data founded on statistical significance testing and swap randomization. We perform experiments with a publicly available mouse gene expression dataset and also a human gene expression dataset describing the exposure to asbestos. The results in both datasets show a considerable decrease in number of genes.
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
-
Upadhyaya, B. B.
(författare)
-
Meng, ChenKTH,Beräkningsbiologi, CB(Swepub:kth)u1u7n748
(författare)
-
Hollmén, J.
(författare)
-
KTHBeräkningsbiologi, CB
(creator_code:org_t)
Sammanhörande titlar
-
Ingår i:6th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2011Berlin, Heidelberg : Springer Berlin Heidelberg, s. 145-1569783642248542
Internetlänk
Hitta via bibliotek
Till lärosätets databas