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For the ISS instantiation scheduling, the t v is known in advance but t r should be computed using our proposed computational resource sharing algorithm.
The model gives us joint angles and the displacement of the skeleton can be computed using our knowledge of the limb lengths and the step in which we are (which defines which foot is in contact with the ground).
This parameter can be computed using our model and is represented by the α factor that is defined as follows: α = Q T wi (1).
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These documents are broken into paragraphs and the word relationships within each paragraph are computed using our patent-pending modeling software.
Given a dataset containing N PFMs with known TF structural classes, N(N+1)/2 pair-wise comparisons (including self-comparisons) were conducted and pair-wise similarity scores were computed using our algorithm or the other compared methods.
Consensus sequences of predicted RpoN promoters was computed using our software, CONSENS by J. Krushkal [ 73].
Nucleosome positions and score were computed using our novel nucleosome positioning software tool PuFFIN [ 27].
All the compressed networks, stories and anthologies presented in this section were computed using our algorithm called Touché (Borassi et al., 2013).
In the other case, we reduce the reaction scheme in Equation (1) to a single S → P reaction but the waiting times are computed (using our method) according to Equation (3), thus obtaining a non-Markovian model.
All results in the following sections were computed using our implementation of the above methods, Bayesfit and Bayescompare; the former may be used for inferring the parameters of the model for a single growth curve and the latter for the detection of differences in growth rate (via hypothesis testing).
This catalog was computed using our previously described algorithm (FANTOM Consortium 2009) to combine 141 motifs derived from two recent sets of protein binding microarray experiments (Badis et al. 2008; Zhu et al. 2009) with 79 motifs predicted from genome-wide ChIP-chip data (Harbison et al. 2004; Siddharthan et al. 2005).
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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