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

Since standard biclustering problem was defined, the problem is known to be NP-hard. However in analyzing time series expression data, we can restrict the problem with the trait of data that represented the contiguous columns, which corresponded to coherent expression patterns. With this restriction included, the problem considered to be tractable problem. We propose an algorithm to find and report all maximal contiguous column coherent biclusters with the shifting input included in time linear within the size of expression matrix multiplied by the size of the shifting window

Identification of Shifting Regulatory Modules in Time Series Gene Expression Data Using a Linear Time Biclustering Algorithm