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The problem is a lack of computational power and appropriate approximation schemes, not anything fundamental.
Precise probabilists think that what precludes us from having precise probabilistic beliefs is merely a lack of computational power and introspective capacity.
While it is widely acknowledged that these spatially- and temporally-coordinated signaling events are critical to motility, progress in this field is limited by a lack of computational models that couple these localized signals to cellular motility and force generation.
Barsalou [ 45, 46] argued that several misunderstandings of embodied/grounded cognition have arisen because of a lack of computational models for these kind of cognitive processes, e.g., grounded theories being viewed as "recording systems that only capture images (e.g. cameras) and are unable to interpret these images conceptually" [ 45, p. 620].
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But due to a lack of reliable computational prediction tools and CHO-specific experimentally validated miRNA target databases, high-throughput miRNA target identification remains a major challenge.
However, despite the great advances made by these efforts, there has been a lack of systematic computational investigation into the social interaction-community structure relationship that incorporates both mechanical forces and diffusible chemicals.
In fact, even if researches can relay on public-domain databases of drug combination references, such as Liu et al. [ 69], there is still a lack of systematic computational approaches, and often several possible drug combinations are disclaimed by expert knowledge and verified via clinical trials.
However, microbial communities have proven difficult to study due to a lack of suitable experimental and computational tools.
While several researchers have developed micro-mechanical models of partially crystallized polymer chains, their results mainly give qualitative agreement with experimental data due to a lack of good micro macro transition theories or the lack of computational power.
Current protein engineering methods are limited by a lack of high throughput physical or computational tests that can accurately predict protein activity under conditions relevant to its final application.
However, such analyses are not a trivial task, owing to the complexity of biological networks and lack of computational methods for their effective integration with experimental data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com