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Methods:We extracted data on 28 118 incident epithelial ovarian cancer cases diagnosed in 2004-2014 from SEER and defined histotype using the 2014 WHO guidelines (high-grade serous, low-grade serous, endometrioid, clear cell, mucinous, carcinosarcoma, and malignant Brenner tumors).
MATERIALS AND METHODS: We extracted from an institutionally approved exstrophy database the records of patients evaluated for complications following radical soft-tissue mobilization repair from 1999 to 2002.
For this reason, we implemented a large number of attribute-based, point-based and other methods; we extracted observable attributes from occluded blobs, in particular, the duration of the occlusion and its minimum number of pixels (providing information about a 'maximal degree of occlusion') turned out to provide good occlusion characterizations.
As described in Materials and Methods we extracted 2065 CCGs from published microarray studies.
By applying diffusion tractography methods, we extracted two microstructural measures: mean diffusivity (MD) and fractional anisotropy (FA).
To examine the concordance of gene expression measurements across methods, we extracted 1,952 expression probes that showed variable weights between -0.01 and 0.01 for all methods.
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To demonstrate the general applicability of our new methods, we extract 287 RNA families from genomic alignments and perform model selection.
Using the guanidinium thyocyanate-phenol-chloroform method, we extracted total RNA from samples obtained from heart of mouse and from the atrium, ventricle, and septum of normal pigs.
Using the guanidinium thyocyanate phenol chloroform method, we extracted total RNA from samples obtained from heart of mouse and from atrium and ventricle of normal pigs.
Using a newly suggested modeling method, we extracted the components that characterize the seasonal and diurnal fluctuations of the ionospheric parameter characteristics for calm conditions in the Kamchatka region.
For each blocking method, we extracted the SNP boundaries and common alleles (frequency ≥0.02) identified using the original data and applied this information to the dataset with the imputed data, creating a haplotype allele incidence matrix that contained the probabilities each individual carried allele i at haplotype block j.
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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