SwePub
Tyck till om SwePub Sök här!
Sök i SwePub databas

  Extended search

Träfflista för sökning "WFRF:(Borg Åke) srt2:(2000-2004);pers:(Saal Lao)"

Search: WFRF:(Borg Åke) > (2000-2004) > Saal Lao

  • Result 1-2 of 2
Sort/group result
   
EnumerationReferenceCoverFind
1.
  • Gruvberger, Sofia, et al. (author)
  • Estrogen receptor status in breast cancer is associated with remarkably distinct gene expression patterns
  • 2001
  • In: Cancer Research. - 1538-7445. ; 61:16, s. 5979-5984
  • Journal article (peer-reviewed)abstract
    • To investigate the phenotype associated with estrogen receptor alpha (ER) expression in breast carcinoma, gene expression profiles of 58 node-negative breast carcinomas discordant for ER status were determined using DNA microarray technology. Using artificial neural networks as well as standard hierarchical clustering techniques, the tumors could be classified according to ER status, and a list of genes which discriminate tumors according to ER status was generated. The artificial neural networks could accurately predict ER status even when excluding top discriminator genes, including ER itself. By reference to the serial analysis of gene expression database, we found that only a small proportion of the 100 most important ER discriminator genes were also regulated by estradiol in MCF-7 cells. The results provide evidence that ER+ and ER- tumors display remarkably different gene-expression phenotypes not solely explained by differences in estrogen responsiveness.
  •  
2.
  • Saal, Lao, et al. (author)
  • Bioarray software environment: a platform for comprehensive management and analysis of microarray data
  • 2002
  • In: Genome Biology. - : Springer Science and Business Media LLC. - 1474-7596 .- 1465-6906. ; 3:8, s. 1-2002
  • Journal article (peer-reviewed)abstract
    • The microarray technique requires the organization and analysis of vast amounts of data. These data include information about the samples hybridized, the hybridization images and their extracted data matrices, and information about the physical array, the features and reporter molecules. We present a web-based customizable bioinformatics solution called BioArray Software Environment (BASE) for the management and analysis of all areas of microarray experimentation. All software necessary to run a local server is available for free and the source code may be downloaded from http://base.thep.lu.se.
  •  
Skapa referenser, mejla, bekava och länka
  • Result 1-2 of 2

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view