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Grant: Operating Grant

University of Alberta

$278,934.00

Statistical Methods for Biomarker Discovery based on Complex High-Dimensional Biological Data

EF 2008-09

Résumé
Tremendous biotechnological advances in the last 15-20 years have enabled measurements of massive amounts of biological signals in our genes and their functions in a single test. These emerging laboratory technologies are changing the ways biologists and clinicians study human health and diseases. These will lead to new methods of detecting disease early to save both lives and medical costs substantially, and treating patients effectively in a tailored way without side effects. There is a new research challenge, however, that needs to be overcome for these technologies to fulfill these promises. Specifically, we must first discover the biologically and clinically meaningful patterns in these massive amounts of data. This project addresses such statistical and bioinformatics challenges in discovery of patterns in massive biological databases in modern health sciences.
Programme
Operating Grant
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
181037
Name
Yasui Yutaka
Region
Alberta
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Population and Public Health
Theme2
Social / Cultural / Environmental / Population Health
Prcname2
Public, Community and Population Health - B
Projecttitle
Statistical Methods for Biomarker Discovery based on Complex High-Dimensional Biological Data
Programtype2
Operating Grants
Orgnameinp2
University of Alberta
Cihramount2
$278,934
Cihrequipment2
$0
Programname2
Operating Grant
Keyworddelim
Biomarkers; Biostatistics Methods; Molecular Epidemiology
Abstract
Tremendous biotechnological advances in the last 15-20 years have enabled measurements of massive amounts of biological signals in our genes and their functions in a single test. These emerging laboratory technologies are changing the ways biologists and clinicians study human health and diseases. These will lead to new methods of detecting disease early to save both lives and medical costs substantially, and treating patients effectively in a tailored way without side effects. There is a new research challenge, however, that needs to be overcome for these technologies to fulfill these promises. Specifically, we must first discover the biologically and clinically meaningful patterns in these massive amounts of data. This project addresses such statistical and bioinformatics challenges in discovery of patterns in massive biological databases in modern health sciences.
Competitiondate
200903
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Yasui, Yutaka
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $278,934~ $0~