Sentence examples for prediction argues from inspiring English sources

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Intriguingly, in 14 cases, the sequence-based prediction argues for the usage of both acceptor sites with a predicted minor transcript frequency of 2%.

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Leetaru is even more wary of overly relying on social media to make predictions, arguing that in many cases even seemingly public events, like protests, have a hidden side to them.

Our data suggest that considerably large numbers of genes in this parasite genome may have incorrect intron/exon predictions, arguing for more efforts to collect complete cDNA sequences and reannotate the genome with cDNA sequences.

In the case of a priori predictions, Howell argues that correction for multiple comparisons is not warranted [ 43].

An earlier prediction had argued for a 24% cut in fertilizer.

Based on these predictions, we argue that the magnitude of this MHC specificity and polymorphism-dependent release mechanism is large enough to play an essential role in slowing down the adaptation of HIV-1 to the proteasome and TAP.

Wrong, wrong, wrong and wrong.This article argues that predictions of ecological doom, including recent ones, have such a terrible track record that people should take them with pinches of salt instead of lapping them up with relish.

The US Commodity Futures Trading Commission outlawed prediction markets in 2012, arguing that political prediction markets could "have an adverse effect on the integrity of elections" by "creating monetary incentives to vote for particular candidates even when such a vote may be contrary to the voter's political views of such candidates".

Humans are bad at prediction, Dr Benford argued, and often things thought on the edge of possibility happen faster than anyone would have believed.Of course, the past is not necessarily any guide to the future, and the magnitude of the problems involved in space exploration dwarf any earthly analogy.

Many ecoinformatic tools, including artificial neural networks (ANNs), can shed important insights into the complexities of ecological data through pattern recognition and prediction; however, we argue that ecological knowledge has been used in a very limited fashion to shape the manner in which these approaches are applied.

The dataset is an example for which the planted motif has a higher log likelihood ratio score than MEME's prediction, yet we argue that log likelihood ratio still doesn't work well as an objective function in this case.

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