English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In the genome science field, decoding whole human genome sequences identifies gene locations. And development of DNA Microarray technology enables us to measure more than 10, 000 gene expression levels at once. Integration of gene location and expression information is expected to detect abnormal chromosome regions that cause some diseases. However the integration is difficult because the amount of information to integrate is huge and the definition of abnormal chromosome regions is not clear. To solve this problem, not only mathematical and statistical approach method but also visualization is effective. But the visualization methodology has not fully discussed yet. So we developed the visualization based methodology that integrate the gene location and expression information. We visualize those data as a map, and then applied the gene expression analysis.

Visualization of Gene Expression Data for Finding Abnormal Chromosome Region