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The overall success rate achieved by our final ensemble is notably higher than previous results obtained on the same datasets using the same testing protocols reported in the literature.
After the dilation, we used the nuclear regions as seeds and applied a seeded watershed segmentation on the dilated cytoplasms image to get the final segmentation mask of the cells (Fig. 1b) We repeated the above process on all the three datasets using the same CellProfiler pipeline provided as Supplementary Software.
The visual clustering algorithms were applied to the same datasets using the same feature set as described in Sect.
For each combination of a stimulus and inhibitor for which predictions were required, we had noted there were six other datasets using the same stimulus (but different inhibitor treatments) and six other datasets using the same inhibitor (but different stimuli).
Therefore, to obtain more accurate distribution estimators, we performed parametric bootstrapping by simulating datasets using the same phylogenetic tree and the maximum likelihood parameter estimates (MLEs) from the independent model [47].
We next separately aligned each of the >23 million short reads against each of the two junction datasets, using the same parameters as in the alignment against the entire genome.
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However, most BSPM datasets use the same beat markers for all the leads.
Both datasets used the same Affymetrix U133 plus 2.0 microarrays as used in our experiments, and all assayed subjects were Han Chinese ethnically.
This linkage was facilitated by the fact that both datasets use the same personal identifier, thus yielding almost 100% linkage rates after excluding those who emigrated abroad since admission to the hospital.
At the end, sixth subsection includes an additional experiment on another HAR dataset OPPORTUNITY dataset, using the same system.
Multiconf-DOCK was used to generate conformations for the 1000 structures in the dataset using the same input as for Confab but converted to MOL2 using Open Babel v2.3.0.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com