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One such established approach that has previously been shown to extract biologically meaningful components from complex biological data is nonnegative matrix factorization (NMF) (Lee and Seung, 1999).
Biological data is the new frontier of social media.
Two things are happening in parallel: technology to collect biological data is taking off and computing is becoming massively scalable.
The biological data is obtained through laboratory analyses of blood and urine samples.
However, the problem of exchanging and integrating biological data is not solved satisfactorily.
The lack of the wide spectrum of biological data is an important obstacle preventing the efficient molecular design.
Developing hypothesis from biological data is one of the main interests and challenges of modern molecular biology.
For Chilean native freshwater fish, basic biological data is scarce and data on 7-ethoxyresorufin-O-deethylase (EROD) and Acetylcholinesterase (AChE) activity is practically absent.
The introduction of computational methods to integrate and quantify biological data is an important step in the development of the emerging field of systems biology.
The overall distribution of important physicochemical properties of B_mols with biological data is depicted in Figure 2. Figure 2 Overall distribution of chemical, biological and physicochemical properties of 623 BioPhytMol phytomolecules.
Along with the fast development in molecular biology and biotechnology, a large amount of biological data is available for genetic studies of important breeding traits in plants, which in turn allows the conduction of genotypic selection in the breeding process.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com