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HHS Recovery Act Recipient Reporting Readiness Tool

Step 4. Review and Copy the Grant Awards Data

TAGGS provides some – but not all – of the data needed for the Recipient Report. Recipients are responsible for directly collecting and reporting all required data to FederalReporting.gov. Data that HHS does not currently collect are highlighted in yellow. Do not copy this highlighted information. Please enter the appropriate data for your organization in these required fields. For assistance with entering these data please contact FederalReporting.gov.

You may capture the data HHS does provide by copying data from this screen and pasting it into the reporting format of your choice, such as the Excel spreadsheet template, the XML template, or by logging into the online form. For assistance with copying and pasting these data please e-mail our help desk at Readiness Help.

 

Award Detail for: STATISTICAL METHODS FOR LARGE-SCALE SIGNIFICANCE AND PREDICTION ANALYSIS WITH APP
UNIVERSITY OF MINNESOTA, OFFICE OF STUDENT FINANCE AID
DUNS Number: 555917996
106 PLEASANT SE, 210 FRASER HL
MINNEAPOLIS, MN 55455
Recipient Report: Grant or Loan
Prime Recipient

Reporting Information
Award Type Award Number Final Report
Grant 5R01CA134848-02 Recipient responsible for this data

Award Recipient Information
Recipient DUNS Number Recipient Account Number Recipient Congressional District
555917996 Recipient responsible for this data 5

Award Information
Funding Agency Code Awarding Agency Code Award Date
7529 7529 04-06-2010
Amount of Award Sub Account Number for Program Source (TAS)  
$ 152,039 Recipient responsible for this data
Program Source (TAS)* CFDA Number 
750850 93.701
Total Number of Sub Awards to Individuals Total Amount of Sub Awards to Individuals
Recipient responsible for this data Recipient responsible for this data
Total Number of Payments to Vendors less than $25,000/award Total Amount of Payments to Vendors less than $25,000/award
Recipient responsible for this data Recipient responsible for this data
Total Number of Sub Awards less than $25,000/award Total Amount of Sub Awards less than $25,000/award
Recipient responsible for this data Recipient responsible for this data
Award Description
Current technology advances have brought us massive biomedical data for statistical analysis, for example, the cancer microarray data. Typical of these data is the common feature that the number of observed samples is much smaller than the number of variables/predictors, which poses challenges for statistical analysis. Identifying differentially expressed genes and predicting sample phenotype based on the gene expressions data are two important research questions in analyzing these large-scale biomedical data. This project proposes to develop some new large-scale prediction and signifiance analysis statistical methods that are specially designed to address small sample size and potential sampe heterogeneity issues, incorporate existing biological information for improved inference, and can be applied very generally. The usefulness of these methods will be shown with the large-scale biomedical data originating from the leukemia cancer research projects. The cancer projects aimed to improve the cancer molecular diagnosis and prognosis by identifying molecular biomarkers for critical early treatment and rapid, noninvasive testing. The specific aims are 1) Develop new statistical methods for significance testing of large-scale molecular markers. 2) Develop new statistical methods that appropriately model the sample heterogeneity for significance testing. 3) Develop new statistical methods that utilize the gene group information to improve cancer prediction. 4) Use the developed models and methods to answer research questions relevant to public health in the leukemia cancer projects; and implement and validate the proposed methods in user-friendly and well-documented software, and distribute them to the scientific community at no charge. Project

Project Information
Project Name or
Project/Program Title
Project Status Total Federal Amount ARRA Funds
Received/Invoiced
STATISTICAL METHODS FOR LARGE-SCALE SIGNIFICANCE AND PREDICTION ANALYSIS WITH APP Recipient responsible for this data Recipient responsible for this data
Number of Jobs Description of Jobs Created
Recipient responsible for this data Recipient responsible for this data
Quarterly Activities/Project Description
Recipient responsible for this data
 
Activity Code (NAICS or NTEE-NPC)
1Recipient responsible for this data2Recipient responsible for this data
3Recipient responsible for this data4Recipient responsible for this data
5Recipient responsible for this data6Recipient responsible for this data
7Recipient responsible for this data8Recipient responsible for this data
9Recipient responsible for this data10Recipient responsible for this data
Total Federal Amount of ARRA
Expenditure
Total Federal ARRA
Infrastructure Expenditure
Infrastructure Contact Name
Recipient responsible for this data Recipient responsible for this data Recipient responsible for this data
Infrastructure Contact Email Infrastructure Contact Phone Infrastructure Contact Phone Ext.
Recipient responsible for this data Recipient responsible for this data Recipient responsible for this data
Infrastructure Contact Street Address 1 Infrastructure Contact Street Address 2 Infrastructure Contact Street Address 3
106 PLEASANT SE, 210 FRASER HL Not Available Recipient responsible for this data
Infrastructure City Infrastructure State Infrastructure ZIP Code+4
MINNEAPOLIS MN 55455
Infrastructure Purpose and Rationale
Recipient responsible for this data

Primary Place of Performance
Street Address 1 Street Address 2 City
420 DELAWARE STREET Recipient responsible for this data MINNEAPOLIS
State Zip Code+4 Congressional District
MN 55455 Not Available
Country  
US

Recipient Highly Compensated Officers
Prime Recipient Indication of Reporting Applicability # Officer Name Officer Compensation
Recipient responsible for this data 1 Recipient responsible for this data Recipient responsible for this data
2 Recipient responsible for this data Recipient responsible for this data
3 Recipient responsible for this data Recipient responsible for this data
4 Recipient responsible for this data Recipient responsible for this data
5 Recipient responsible for this data Recipient responsible for this data

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USE IN THE RECIPIENT REPORT

The information provided by this tool is baseline data that the Recipient should include in the Recipient Report that must be submitted to FederalReporting.gov beginning October 1, 2009. The data from this tool can be cut and pasted directly into the Recipient Report.