Automating Gene Expression Annotation for Mouse Embryo

It is of high biomedical interest to identify gene interactions and networks that are associated with developmental and physiological functions in the mouse embryo. There are now very large data sets with both spatial and ontological annotation of the spatio-temporal patterns of gene-expression which provide a powerful resource to discover potential mechanisms of embryo organisation. Ontological annotation of gene expression consists of labelling images with terms from the anatomy ontology for mouse development. If an image is tagged with a term, it means that anatomical component shows expression of that gene. Current annotation is made manually by domain experts. It is both time consuming and costly. In addition the level of detail is variable and inevitably that are errors arising form the tedious nature of the task. In this paper, we explore a possible way and present a new data mining framework to automatically annotate gene expression patterns in the mouse embryo with anatomic te...

• Type: Conference
• Year: 2009
• Where: ADMA
• Authors: Liangxiu Han, Jano I. van Hemert, Richard A. Baldock, Malcolm P. Atkinson
• Keywords: ADMA 2009, Data Mining, Gene Expression, Gene Expression Patterns, Mouse Embryo