| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8380856 | Current Opinion in Plant Biology | 2016 | 5 Pages |
Abstract
The development of 'omics' technologies has progressed to address complex biological questions that underlie various plant functions thereby producing copious amounts of data. The need to assimilate large amounts of data into biologically meaningful interpretations has necessitated the development of statistical methods to integrate multidimensional information. Throughout this review, we provide examples of recent outcomes of 'omics' data integration together with an overview of available statistical methods and tools.
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Authors
Dhivyaa Rajasundaram, Joachim Selbig,