|
| Status |
Public on Dec 31, 2007 |
| Title |
Classification of ovarian tumor samples |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by array
|
| Summary |
We have previously described differences in the expression profiles of tumors by comparing tumors of two known classes: low malignant potential versus highly malignant (invasive). This report presents an effort to discover unknown classes within a large heterogeneous set of ovarian tumors, using unsupervised learning approaches.
We were able to define four classes in a set of 74 ovarian cancer tumors. Groups identified as A1 and A2 were closely related and correlated with the “invasive” pathology class while the group identified as B2 was correlated with low malignant potential tumors; group B1 consisted of a mixture of low potential and invasive samples. We selected characteristic candidate genes, which were validated by quantitative-PCR and by comparison to other published studies.
Keywords: Unsupervised classification
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| |
|
| Overall design |
We used unsupervised classification methods to identify unknown classes in a set of 74 cancer samples
|
| Web link |
http://www.genomequebec.mcgill.ca/ovarian/
|
| |
|
| Contributor(s) |
Novak JP, Ouellet V, Le Page C, Martinu K, Ponton A, Bachvarov DD, Filali-Mouhim A, Provencher DM, Tonin PN, Hudson TJ, Mes-Masson A |
| Citation missing |
Has this study been published? Please login to update or notify GEO. |
| Submission date |
Jan 22, 2007 |
| Last update date |
Jul 08, 2016 |
| Contact name |
Jaroslav Petr Novak |
| E-mail(s) |
jaroslav.novak@mail.mcgill.ca, jaroslav.novak@gmail.com
|
| Phone |
450-465-1383
|
| Fax |
450-465-3033
|
| Organization name |
McGill University and Genome Quebec Innovation Centre
|
| Department |
Microarray Platform
|
| Street address |
740, Dr Penfield Avenue
|
| City |
Montreal |
| State/province |
Quebec |
| ZIP/Postal code |
H3A 1A4 |
| Country |
Canada |
| |
|
| Platforms (1) |
| GPL80 |
[Hu6800] Affymetrix Human Full Length HuGeneFL Array |
|
| Samples (74)
|
|
| Relations |
| BioProject |
PRJNA99179 |
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