We have located links that may give you full text access.
Oncopression: gene expression compendium for cancer with matched normal tissues.
Bioinformatics 2017 July 2
Motivation: Expression profile of normal tissue is primary source to find genes showing aberrant expression pattern specific in matched cancer tissue, but sample number of normal control in public gene expression repositories is disproportionally small compared to cancer and scattered in several datasets.
Results: We built oncopression by integrating several datasets into one large dataset for comprehensive analysis about 25 types of human cancers including 20 640 cancer samples and 6801 normal control profiles. Expression profiles in cancers can be directly compared to normal tissue counterparts. Validity of the integration was tested using immunohistochemical staining results and principal component analysis. We have utilized the pre-release version of oncopression to identify cancer-specific genes in several studies.
Availability and Implementation: Free access at https://www.oncopression.com and all expression data are available for download at the site.
Contacts: [email protected] or [email protected].
Supplementary information: Supplementary data are available at Bioinformatics online.
Results: We built oncopression by integrating several datasets into one large dataset for comprehensive analysis about 25 types of human cancers including 20 640 cancer samples and 6801 normal control profiles. Expression profiles in cancers can be directly compared to normal tissue counterparts. Validity of the integration was tested using immunohistochemical staining results and principal component analysis. We have utilized the pre-release version of oncopression to identify cancer-specific genes in several studies.
Availability and Implementation: Free access at https://www.oncopression.com and all expression data are available for download at the site.
Contacts: [email protected] or [email protected].
Supplementary information: Supplementary data are available at Bioinformatics online.
Full text links
Related Resources
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app