Background Cell and tissue specific gene expression is a defining feature of embryonic
development in multi-cellular organisms. However, the range of gene expression patterns …

High-dimensional data are common in many domains, and dimensionality reduction is the
key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is a well …

Similar to other data mining and machine learning tasks, multi-label learning suffers from
dimensionality. An effective way to mitigate this problem is through dimensionality reduction …

Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in
the feature space via the kernel trick. Its performance depends on the selection of kernels. In …

Sertoli cells and germ cells are separated from the interstitial blood capillaries by an
extracellular matrix and the peritubular cells, which constitute a barrier to the movement of …

Axis specification in mouse is determined by a sequence of reciprocal interactions between
embryonic and extra-embryonic tissues so that a few extra-embryonic genes appear as …

Background Drosophila gene expression pattern images document the spatiotemporal
dynamics of gene expression during embryogenesis. A comparative analysis of these …

Motivation: Microarray profiling of mRNA abundance is often ill suited for temporal–spatial
analysis of gene expressions in multicellular organisms such as Drosophila. Recent …

Motivation: Regulation of gene expression in space and time directs its localization to a
specific subset of cells during development. Systematic determination of the spatiotemporal …

The Drosophila gene expression pattern images document the spatial and temporal
dynamics of gene expression and they are valuable tools for explicating the gene functions …