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Newer theories recognize the learning progression as inherently complex — learning is situated in and influenced by the dynamic contexts in which it takes place, with outcomes that are challenging to predict (Wiliam, 2016).
Although protein-protein interactions play an important role that it is challenging to predict [ 93, 94], the use of algorithms such as GSP-SNO 1.0 trained against a pool of known S-nitrosylation sites may provide some additional insight [ 95].
There are multiple factors that impact gross margins, so it is challenging to predict what its guidance will be.
In a CASP-like exercise, one or more experimental groups would generate quantitative phenotype data for a set of viruses, for example the relative binding of α2,3-sialoglycans and α2,6-sialoglycans, pH profile of viral activation, or sensitivity to oseltamivir, and challenge computational groups to predict that virus phenotype data from the genetic sequences of the viruses tested.
Part of the challenge for Simeone is to predict that and then to combat it.
"It's pretty hard to predict that".
These community-wide exercises provide stringent tests of available computational methods by challenging modelers to predict structures of ncRNA sequences that have been crystallized but whose structures have not been publicly released.
How these conflicting selection pressures are resolved is challenging to investigate, but theoretical models predict that inbreeding should occur frequently in some systems.
While concordant cross-prediction of existing MREs and the corresponding binding miRNAs is straight forward, the challenge is to predict those MREs that are created exclusively by the presence of variant alleles at the SNP loci.
A part of this challenge was to predict position weight matrices (PWMs) that describe the specificity profiles of five PDZ domains to their target peptides.
With commercial real estate poised to bridge the technology gap and with technology companies ready to produce innovative solutions to today's CRE challenges, I predict that 2015 will finally be a year of real, measurable change for the industry.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com