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The antibacterial and biochemical datasets show a similar distribution with a preponderance of neutral molecules and approximately equal numbers of the other three classes.
Upper canopy photosynthetic and biochemical datasets were combined across years (1999, 2008, 2009) to investigate shifts in response through time.
Gene expression and biochemical datasets previously obtained, in the absence of infection, point to the cell wall, and particularly the xyloglucan component of transgenic VvPGIP1 lines as playing a role in fungal resistance.
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We also present a novel statistical workflow by which to differentially analyze 'semi-quantitative' versus 'qualitative' biochemicals within metabolomic datasets where data are 'missing' (i.e., a biochemical is not detected) preferentially from one experiment group.
Automation of bacterial clustering and identification process has great potential in screening large datasets of biochemical test results of Enterobacteriaceae as opposed to the manual process.
The TCGA and GSE21034 datasets included biochemical recurrence (BCR) data, with times indicating the duration between sample collection and either BCR or BCR-free follow-up.
The extraction of physical, chemical, or biochemical information from such large datasets requires extensive modelling which can be challenging and time consuming.
Alternatively, pathway visualization tools allow users to explore the biochemical activities found in experimental datasets along different interactive pathways.
The integration of multiple high-throughput Omic datasets revealed complex biochemical variation amongst five cultivars of an ancient and economically important crop species.
Gaussian graphical models (GGMs) have proven to be powerful tools for detecting signatures of biochemical pathways in large metabolomics datasets [ 15, 16].
The system uses SVG vector graphic images for the representation of the biochemical pathways and the experimental datasets that are mapped on the pathway representations [ 11].
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