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Based on the experimental data for complexes 1 and 2, we first benchmarked different functionals with different HF% and found B3PW91 to be the optimal functional for this system.
To test our approach, we first benchmarked DEMON on simulated data.
We first benchmarked our method on a realistic simulated dataset generated as described in Section 3.1.
We first benchmarked our model against a list of 18 proteins that were tested in the same experimental conditions and showed no SUP35C activity in vivo[ 38].
We first benchmarked the power of these tests under different aggregated PAR Madsen and Browning, 2009 values, which reflects the aggregated disease risk of all simulated mutations.
Similar(55)
Again, a network structure can be assembled from the parent distributions for each node, with a hypernetwork assembled from the the distributions over hyperparents: (9) Since there is typically no way of knowing a priori how similar or dissimilar two networks might be, we first benchmark the hCSI approach using two extreme cases that could feasibly occur in biological data.
Here, we report the first benchmark ever performed on 8 trillion8times10^{12}12})) particles.
This algorithm is first benchmarked on a synthetic case.
In the first benchmark, we classified genes present in the six search spaces as "CAD candidates" or "CAD non-candidates".
For the first benchmark, we classified genes in the six search spaces as "CAD candidates" or "CAD non-candidates".
In the first benchmark, we validated association of targets with CAD based on whether they are designated as known targets for CAD in the drug databases or not.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com