Sciweavers

Share
BIBM
2009
IEEE

Identifying Gene Signatures from Cancer Progression Data Using Ordinal Analysis

9 years 3 months ago
Identifying Gene Signatures from Cancer Progression Data Using Ordinal Analysis
—A comprehensive understanding of cancer progression may shed light on genetic and molecular mechanisms of oncogenesis, and it may provide much needed information for effective diagnosis, prognosis, and optimal therapy. However, despite considerable effort in studying cancer progressions, their molecular and genetic basis remains largely unknown. Microarray experiments can systematically assay gene expressions across genome, therefore they have been widely used to gain insights on cancer progressions. In general, expression data may be obtained from different stages of the same samples. More often, data were obtained from individuals at different stages. Existing methods such as the Student’s t-test and clustering approaches focus on identification of differentially expressed genes in different stages, but they are not suitable for capturing real progression signatures across all progression stages. We propose an alternative approach, namely a multicategory logit model, to identify...
Yoon Soo Pyon, Jing Li
Added 09 Jul 2010
Updated 09 Jul 2010
Type Conference
Year 2009
Where BIBM
Authors Yoon Soo Pyon, Jing Li
Comments (0)
books