1 / 16

Cluster Analysis of Tumor Gene Expression Data at 25 Weeks

Analyze gene expression data for tumor samples at 25 weeks using hierarchical and k-means clustering to identify profiles differing between WT and KO tumors. Select 389 key genes for analysis.

paley
Télécharger la présentation

Cluster Analysis of Tumor Gene Expression Data at 25 Weeks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Looking only at 25-week data • Hierarchical clustering -> two clusters which are up (yellow) in KO tumor and not (blue) in WT tumor. • Select 389 genes (marked in green in the heat maps) • Use k-means clustering to identify profiles of interest (eg differing between WT and KO tumor) -> three sets of genes (see cluster profiles)

  2. Arrangement for k-means clustering WT KO T Uninv MCA T T Uninv MCA

  3. Similar to “up in WT tumor”

  4. Anticorrelated with “up in wt tumor”

  5. Similar to “up in KO tumor”

  6. UKT

  7. UKT

  8. DWT

  9. DWT

  10. UWT

  11. UWT

More Related