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Based on the trust model development process as well as trust model strategies that were discussed previously, we build our own strategy by taking advantage of the positive aspects of existing solutions.
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Previously, we built a mathematical model to simulate calcium clearance in normal beta-cells that used the Kd for SERCA2 for SERCA in the simulation (Chen et al. 2003).
Previously, we built endoscopes with ultrahigh resolution (2-5 μm) OCT, and high resolution OCT combined with unfocused LIF, and demonstrated imaging of mouse colon [ 9, 25, 26].
Previously, we built an approximate model for the polymerase, clamp and exonuclease complex, using distance restraints provided by chemical cross-linking coupled to mass-spectrometry (Toste Rêgo et al., 2013).
Previously, we built a miRNA microarray based on the miRbase ver. 5.0 and reported that miR-92, miR-20, miR-18 and precursor miR-18 had significantly high expression in poorly differentiated HCC samples, moderate expression in moderately differentiated HCC and low expression in well-differentiated HCC.
Using clinical-pathological variables and a collection of 323 gene expression "modules", including 115 previously published signatures, we build multivariate Cox proportional hazards models using a dataset of 550 node-negative systemically untreated breast cancer patients.
For these, we build on previously introduced resources targeting the molecular level, basing our extensions on domain ontologies.
Indeed, we built on previously published studies on transitional care.
We took advantage of a custom library with biological terms we previously built in the software (Moscarella et al., 2008).
Since no X-ray structures existed for UmuC (the polymerase subunit of DNAP V) or DNAP IV, we previously built molecular models.
We previously built a database of SNP-containing probesets in the exon array (SNPinProbes 1.0 [32]) based on dbSNP v129.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com