-
Notifications
You must be signed in to change notification settings - Fork 9
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
* add CLAD paragraph * fixed Anita's e-mail address * add link to CLAD page * center link to CLAD page
- Loading branch information
1 parent
e697831
commit f7c248e
Showing
2 changed files
with
20 additions
and
0 deletions.
There are no files selected for viewing
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
|
@@ -59,6 +59,26 @@ This project forms the basis of a Center of Excellence in Genomic Science, a pro | |
**Contact:** [Monica Munoz-Torres](mailto:[email protected]) | ||
**Funding:** NHGRI | ||
|
||
{% include section.html %} | ||
|
||
### Center for Linkage and Acquisition of Data | ||
|
||
{% | ||
include figure.html | ||
image="images/research/clad.png" | ||
height="250px" | ||
%} | ||
|
||
The All of Us Center for Linkage and Acquisition of Data (CLAD) expands the types and research utility of program data available to researchers through passive data streams. CLAD acquires and processes linked data within a secure platform before delivering it to the All of Us Data and Research Center. The CLAD team is also responsible for developing analytical tools to help researchers jumpstart their analyses when using the linked data. | ||
|
||
**Contact:** [Anita Walden](mailto:[email protected]) | ||
**Funding:** NIH Office of the Director, # OTA-23-003 | ||
|
||
{% include link.html type="home-page" link="https://allofus.nih.gov/funding-and-program-partners/center-for-linkage-and-aquisition-of-data" icon="" text="" %} | ||
{:.center} | ||
|
||
|
||
|
||
{% include section.html %} | ||
|
||
### Converging Genomics, Phenomics, and Environments Using Interpretable Machine Learning Models | ||
|