geo_accession title source_name age gender pathology subgroup
GSM3207669 GSM3207669 AdultMB-001 medulloblastoma 19 Male LCMB G4
GSM3207670 GSM3207670 AdultMB-002 medulloblastoma 24 Male CMB G4
GSM3207671 GSM3207671 AdultMB-003 medulloblastoma 24 Male CMB G4
GSM3207672 GSM3207672 AdultMB-004 medulloblastoma 42 Male CMB WNT
GSM3207673 GSM3207673 AdultMB-005 medulloblastoma 25 Male DNMB SHH
GSM3207674 GSM3207674 AdultMB-006 medulloblastoma 46 Male CMB G4
GSM3207675 GSM3207675 AdultMB-007 medulloblastoma 24 Female LCMB G4
GSM3207676 GSM3207676 AdultMB-008 medulloblastoma 31 Male CMB WNT
GSM3207677 GSM3207677 AdultMB-009 medulloblastoma 34 Male DNMB SHH
GSM3207678 GSM3207678 AdultMB-010 medulloblastoma 29 Female AMB SHH
GSM3207679 GSM3207679 AdultMB-011 medulloblastoma 19 Male CMB WNT
GSM3207680 GSM3207680 AdultMB-012 medulloblastoma 26 Female CMB G4
GSM3207681 GSM3207681 AdultMB-013 medulloblastoma 23 Male CMB WNT

This eSet contains 19372 probes/transcripts/genes in 13 samples, in which 4 sample class: age, gender, pathology, subgroup will used for basic clustering analysis.

Part I: Heatmap between samples

Distance between samples is calculated by dist2().

Part II: PCA plot for samples

Original expression matrix is transformed by PCA (principal component analysis) and the first two components are visualized.

## No support for original clusters size larger than 6 (here age has 10 unique groups), please directly call draw.pca.kmeans() or draw.2D.interactive() for visualization!

Part III: Density plot

The density for the expression value in each sample is ploted with colored grouped by the sample class.

Part IV: Correlation plot (pearson)

Part V: MeanSd Plot

## No selection for MeanSd plot!