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We expected our new predictions will increase the ability of understanding compensatory pathways.
Importantly, as more functions are elucidated, so our ability to make better predictions will increase.
It is expected that as more phages with known lifestyles are added to the database, the precision rate and sensitivity of predictions will increase.
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The potential to revolutionize trait discovery and improve phenotypic prediction will increase when high-throughput phenotyping and genome-wide association studies are integrated.
By 2025, the forecast shows therapeutics will decline to approximately 35percentt of total global spending while diagnostics and prediction will increase to 28percent and 222 percent cumulatively.
With improved predictions we will increase our ability to predict cis-regulatory-associated variants and their functional impact on the regulatory elements they coincide with.
DOI: http://dx.doi.org/10.7554/eLife.01120.012 The predicted ligands and prediction method will increase the speed of receptor odor decoding and allow for interpretation of data at a large scale that is difficult to achieve.
With N = 2, M = 11 and σ = 0.5, pilot simulations indicated a K ≈ 4. When ω > 0, prediction error will increase, but it is less easy to predict what its effect will be on K.
As the predictions depend in part on annotations (such as scores generated using the GO and subcellular localisation-derived features), the prediction accuracy will increase as proteins become better annotated.
Prediction: investment will increase significantly Reality check: we were not suggesting this would happen overnight, rather develop in line with the growing need for differentiation.
So, there is a question that whether the prediction power will increase if we use all these features.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com