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The new approach that we present here, SW, extends GeneMANIA algorithm (Mostafavi et al., 2008) that was previously shown to have the state-of-art performance on yeast and mouse benchmark datasets (Mostafavi et al., 2008; Pena-Castillo et al., 2008).
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Our electrocardiographic characterisation in the developing neonatal mouse serves as a benchmark for future studies and we believe that the neonatal hypoxic model and the αMHC-Cre::VHL fl/flmouse will facilitate further investigation into SIDS.
A similar trade-off between specificity and sensitivity has recently been described based on the use of functional genomics data to benchmark human-mouse orthology predictions [22].
We then show analogous results using mouse, fly, human and E.coli benchmark data.
For mouse, we use the MouseFunc benchmark (Pena-Castillo et al., 2008), which consists of 10 networks and covers 21 603 mouse genes.
Thus, the introduction of affordable genetic and genomic profiling has raised the benchmark for validating mouse models at the genetic level.
After administering 2,2,2-tribromoethanol i.p., mice were mounted onto a stereotactic frame (Benchmark, Neurolab, St Louis, MO, USA).
These cutoffs, though arbitrary, reflect the difference in complexity between the yeast and mouse genomes - the conclusions drawn from the benchmark are not heavily influenced by this choice.
On a benchmark including 120 pairs of human and mouse genomic sequences, most of their encoded genes were successfully identified by our program.
We evaluate our methodology on benchmark networks in five species: yeast, fly, mouse, human and E.coli.
The system has been benchmarked on the well-annotated human and mouse genomes where it proved its reliability.
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