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Both teams then chose the versions of their models that best predicted past climate changes and used them to predict future change for various levels of greenhouse gas emissions.
In the revised manuscript, we clarified how we analyzed these changes and used this analysis to inform the conclusions.
In the initial descriptive phase before the various hypotheses regarding the pathogenesis of atherosclerosis emerged, prominent pathologists of the time emphasized the bone like changes and used the terms ossification and petrification of atherosclerotic lesions.
We then selectively altered the methylation profile of randomly chosen regions in the simulated replicates to create known methylation changes and used the MD method to test for DMRs.
These mutations were likely present in the MA experiment ancestor, so we generated an updated ancestral genome sequence incorporating these changes and used this as input into breseq to predict new mutations that evolved independently in each of the 21 MA lineages (Additional file 2).
The present study is thus the most comprehensive, evaluating 735 miRNAs, the most statistically rigorous, using a Bonferroni correction to the multiple testing problem requiring large fold changes and used a macrodissected set of tumor tissues, therefore minimizing the effect from non-malignant cells.
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So we have two methods to estimate climate sensitivity – using data from past climate changes and using complex climate models – which consistently give us approximately the same answer.
We consider an agent-broker that predicts stock price changes and uses its predictions for selecting actions.
Differentially expressed genes were subsequently identified based on the observed fold changes and using a t-test-calculated P-value.
These include tools for creating ontology mappings, ontology views, detecting ontology changes and using ontologies in interfaces to enhance querying.
"Our people are going to adapt, respond to these changes and use these technologies for their own purposes – and that's something to be welcomed in many cases".
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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