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Consider the observation that a prior distribution P 0 (D) and the likelihood probability P(S| D) imply a posterior P 0 p D | S, from which we can obtain a distribution P 1 (D) by summing over S in the following way: P 1 D deff ¯ ¯ ∑ S P 0 p D | S · P S, where P S) is a distribution from which the samples were generated.
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This was followed by a prediction stage in which samples were generated from the posterior distribution of PfPR2-10 at each prediction location on a 1 × 1 km grid.
In the first part of the study, all samples were generated from a population in which all null hypotheses associated with the LM tests were correct.
23 of these samples were from patients which participated in the trial, and 6 additional samples were generated from archival material collected by PETACC-2-participants.
First, 500 bootstrap samples were generated from the original sample.
In total, 10 000 samples were generated from the assigned distribution.
Total RNA was extracted from samples across each stage, and then representative, stage-specific samples were generated through pooling to generate four RNA samples for sequencing which are described as NCBI BioSamples SAMN03010448- Sassociated1 associated with BioProject PRJNA259566.
DNA samples were generated from infections with either wild-type or primase-deletion mutant phage.
RNA samples were generated from three independent biological replicates.
Samples were generated and processed in triplicate.
Two types of samples were generated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com