New technological innovations are changing the future of healthcare system. Identification of
factors that are responsible for causing depression may lead to new experiments and …

Incomplete multi-view clustering is gaining increased attention owing to its great success in
mining underlying information from the missing views. However, the existing approaches still …

In a wide range of biological studies, it is highly desirable to visualize and analyze three-
dimensional (3D) microscopic images. In this primer, we first introduce several major …

Cells in an organism share the same genetic information in their DNA, but have very
different forms and behavior because of the selective expression of subsets of their genes …

With the advance of new data acquisition and generation technologies, the biomedical
domain is becoming increasingly data-driven. Thus, understanding the information in large …

Knowledge discovery from large and complex scientific data is a challenging task. With the
ability to measure and simulate more processes at increasingly finer spatial and temporal …

Cluster analysis is a useful method which reveals underlying structures and relations of
items after grou** them into clusters. In the case of temporal data, clusters are defined …

Background Data visualization is critical for interpreting biological data. However, in practice
it can prove to be a bottleneck for non trained researchers; this is especially true for three …

The properties of separation ability and computational efficiency of liquid state machines
depend on the neural model employed and on the connection density in the liquid column. A …

Microarray Image and Data Analysis: Theory and Practice is a compilation of the latest and
greatest microarray image and data analysis methods from the multidisciplinary international …