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In contrast to previous methods, we discover the high-level structure of the scene and can obtain a complete reconstruction efficiently even in the presence of noise and incomplete scans.
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Using a combination of qualitative and quantitative methods, we discovered that students report a variety of activities to improve their physical examination skills.
When testing the methods we discovered 112 novel bi-allelic polymorphisms (type I markers) in 88 salmon genes [dbSNP: ss179319972-179320081, ss250608647-250608648], and three of the SNPs discovered were missense substitutions.
Next, using a combination of computational and experimental methods, we discovered that the little-studied transcription factor PQM-1 regulates Class II genes (and Class I to a lesser extent), via the DAF-16 associated element (DAE), a GATA-containing motif previously lacking an identified binding factor [ 5].
However, after separating the McCune origins into early- and late-firing origins as defined by Rad53 checkpoint mediated regulation (Feng et al. 2006; see Methods), we discovered that early-firing origins are significantly correlated to breakpoints in both data sets even after a Bonferroni correction (table 1 and supplementary table S6, Supplementary Material online).
By comparing (AUC+AUPRC /2 score of each method, we discover that normalization methods designed for mRNA data that tend to be overly aggressive (e.g., quantile normalization) provide virtually no additional benefits in recovering truly differentially expressed features.
By this method, we discovered pathways specific to chemoresistance.
Using this method, we discovered 73 candidate regulatory motifs in the promoter regions.
Through this method, we discovered a smooth transition pattern of severity from normal controls to acute SARS patients.
Incorporating cross correlation information into the ranking procedure of the ROC FS method, we discovered that, from the 46 variables obtained from the 5 medical tests considered, only 24 contain useful uncorrelated information.
Using this method, we discovered that spidroins from the divergent spider lineages Mygalomorphae, Haplogynae, Agelenoidea, and Deinopoidea are also characterized by the presence of a non-repetitive N-terminal domain with high sequence similarity to those reported from distantly related araneoid spiders [ 11, 12, 18- 20, 34] and the pisaurid Euprosthenops australis [ 21].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com