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The kinetics of biological processes are typically stochastic, i.e. random, in nature [28].
The algorithm can still be run in real-time as biological processes are typically slow.
However, we increasingly recognize that biological processes are typically driven by the interplay of complex interaction networks of various molecules (mostly proteins).
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A biological process is typically realized by a group of genes or gene products.
Biological measurements of intracellular regulation processes are typically noisy, and time resolution is low.
Two types of joining processes are typically classified as illegitimate.
Recombinant protein production processes are typically divided into two phases.
Response networks are typically interpreted by computing which biological processes are enriched in them.
Approaches typically used for assessing this and, it is fair to say, other biological processes are rather descriptive, so further developments are expected in using math for quantification [ 22 ].
Numerous biological processes are regulated by enzymes.
Nutrients losses in biological processes are inevitable.
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