Name
Title | ||
|---|---|---|
A Phenotype-Driven Dimension Reduction (Phddr) Approach To Integrated Genomic Association Analyses |
Abstract | ||
|---|---|---|
An immediate challenge in integrated genomic analysis involving several types of genomic factors all measured genome-wide is the ultra-high dimensionality. Screening all possible relationships among the genomic factors is an NP-hard problem; therefore in practice proper dimension reduction is necessary. In this paper we develop the Phenotype-Driven Dimension Reduction (PhDDR) approach to the analysis of gene co-expressions, and discuss its extensions to integration of other genetic factors. This approach is then illustrated by an application to gene co-expression analysis of treatment response of childhood leukemia. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IEMBS.2011.6091686 | 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Keywords | Field | DocType |
probability,computational biology,dimension reduction,molecular biophysics,genetics,algorithms,phenotype,bioinformatics,correlation,gene expression,np hard problem,gene expression profiling,genomics,pediatrics | Precursor Cell Lymphoblastic Leukemia Lymphoma,Computer vision,Dimensionality reduction,Phenotype,Computer science,Genomics,Correlation,Artificial intelligence,Computational biology,Genetics,Gene expression profiling,Patient treatment | Conference |
Volume | ISSN | Citations |
2011 | 1557-170X | 0 |
PageRank | References | Authors |
0.34 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cuilan Gao | 1 | 0 | 0.34 |
| Cheng Cheng | 2 | 0 | 0.34 |