1887

Abstract

Recently, new bioimaging techniques have been proposed to visualize the interaction of several proteins within individual cells. Such techniques could provide the key to understanding complex biological systems such as the protein interactions involved in cancer. Currently, there is a strong urge for sophisticated analytical methods to extract molecular signatures of diseases (such as cancer) in order to not only understand the biological processes behind cancer development but also to aid us in early diagnosis and appropriate treatment. We propose a paradigm for mining of molecular signatures in multivariate bioimages. In contrast to the traditional pixel-level analysis approaches, which ignore cellular structures as units that can be crucial when analyzing cancerous cells, our method incorporates cell-level analysis. We use this framework to perform cell level protein-protein interaction analysis to visualize cellular heterogeneity at a molecular level.

Loading

Article metrics loading...

/content/papers/10.5339/qfarf.2013.BIOP-045
2013-11-20
2019-11-14
Loading full text...

Full text loading...

http://instance.metastore.ingenta.com/content/papers/10.5339/qfarf.2013.BIOP-045
Loading
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error