Cancer Map Patterns

Lifestyle patterns in the Iranian population: Self- organizing map application

Background: The present study evaluated the lifestyle behavior patterns and its associations with demographic factors in the Iranian population. Methods: A total of 8244 people aged 25-70 years who participated in a national survey in 2011 were included in the study. Factors related to lifestyle (such as diet, physical activity, and tobacco use) have been collected using a questionnaire. A sel...

Landscape Metrics for Categorical Map Patterns

Beyond PSIs: Topic Map design patterns

Software design patterns give programmers a high level language for discussing the design of software applications. For topic maps to achieve widespread adoption and improved interoperability, a set of topic map design patterns are needed to codify existing practices and make them available to a wider audience. Combining structured descriptions of design patterns with Published Subject Identifi...

E-MAP: Efficiently Mining Asynchronous Periodic Patterns

Mining periodic patterns in temporal dataset plays an important role in data mining and knowledge discovery tasks. In this paper, we propose a novel algorithm E-MAP (Efficient Mining of Asynchronous Periodic Patterns) for efficient mining of asynchronous periodic patterns in large temporal datasets. Our proposed algorithm discovers all maximal complex patterns in a single step and single scan w...

Characterization of Gene Expression Patterns among Artificially Developed Cancer Stem Cells Using Spherical Self-Organizing Map

We performed gene expression microarray analysis coupled with spherical self-organizing map (sSOM) for artificially developed cancer stem cells (CSCs). The CSCs were developed from human induced pluripotent stem cells (hiPSCs) with the conditioned media of cancer cell lines, whereas the CSCs were induced from primary cell culture of human cancer tissues with defined factors (OCT3/4, SOX2, and K...