作者: Liangxiu Han , Jano van Hemert , Ian Overton , Paolo Besana , Richard Baldock
DOI: 10.1002/9781118540343.CH16
关键词: Imaging data 、 Section (archaeology) 、 Computational genomics 、 Developmental biology 、 Identification (biology) 、 Annotation 、 Biological significance 、 Data science 、 Systems biology 、 Computer science
摘要: This chapter describes the application of data-intensive methods to automatic identification and annotation gene expression patterns in mouse embryo. The first section introduces ideas behind modern computational systems biology, how explosion data postgenomic world has led new possibilities even greater challenges. second talks about particular biology problem annotating images with right anatomical terms depth. An automated solution based on is discussed third section. final looks ahead biological significance these approaches also a large-scale challenge possible series experiments novel architecture.