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The SEs data downloaded from dbSUPER65 was also generated using the same pipeline.
The predictions from these random models are validated in the EHR using the same pipeline as for the trained models.
Repeat elements in cultivated soybean genomes were annotated using the same pipeline as used for W05 genome repeat annotation.
We combined these with TCGA raw count data analyzed using the same pipeline and compiled a transcriptomic dataset comprising of 1558 healthy normal samples, 428 NAT samples, and 4500 primary tumor samples across eight tissue types (Table 1).
The topology of a PC specific metabolic network was reconstructed using the same pipeline followed to generate the previously employed ccRCC genome-scale metabolic model41 and was used as the sole constraint to perform FBA to predict in silico gene essentiality.
To test the generalizability of the identified four neuromarkers and the prediction model, we then extracted the same four ROIs in UNM and COBRE cohorts through masks (obtained from FBIRN cohort) and applied them to Eq. (1), to predict the unseen MCCB composite scores for both UNM and COBRE data (preprocessed using the same pipeline as in FBIRN).
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We have attempted to minimise the impact of platform versions by using the same pipelines and methods for alignment and variant calling.> The crowdsourced data encompass genotypes, annotations, alignments, whole exome sequencing and metagenomics sequencing.
In the prediction step, we use the same pipeline to construct the unlabeled feature instances from the BC5 test set, then predict their classes (i.e. whether there is a CID relationship) using the learned model.
It has been shown that since we used the same pipeline for the transmitted/received data (out of the STC), the FPGA is efficiently utilized at the expenses of larger buffers (data vectors are processed concatenated).
Our study uses the same pipeline for the entire analysis of rhythmic gene expression.
Since we were able to 'rediscover' several known XLMR genes (Table 2) we used the same pipeline for predicting novel candidate genes based on current knowledge of causes of XLMR.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com