Multi-omic data integration enables discovery of hidden biological regularities
Rapid growth in size and complexity of biological data sets has led to the ‘Big Data to Knowledge' challenge. We develop advanced data integration methods for multi-level analysis of genomic, transcriptomic, ribosomal profiling, proteomic and fluxomic data. First, we show that pairwise integrat...
Main Authors: | Ebrahim, Ali, Brunk, Elizabeth, Tan, Justin, O'Brien, Edward J., Kim, Donghyuk, Szubin, Richard, Lerman, Joshua A., Lechner, Anna, Sastry, Anand, Bordbar, Aarash, Feist, Adam M., Palsson, Bernhard O. |
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Format: | Online |
Language: | English |
Published: |
Nature Publishing Group
2016
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5095171/ |
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