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SINReff is obtained by mapping the set of subcarriers SINR assigned to users TB to the AWGN-equivalent SINR.
ESPERR [73] is trained on a set of human genes, which is further expanded by mapping the set of human genes to orthologous mouse genes, amongst others.
This analysis was done by mapping the set of genes of interest (DEGs or plant-specific genes) to the terms in plant GOSlim Ontologies from the Rice Genome Annotation Project (http://rice.plantbiology.msu.edu/annotation_pseudo_goslim.shtml).shtml
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Enrichment analysis is performed by mapping the protein set to be analyzed on the sub-networks, and then by collecting the corresponding annotations.
Mapping of the Human Genome (HG19): First, we proceeded by mapping the probe sets on the HG19 [ 30].
By mapping the probe sets to genes, we have identified 991 unique genes differentially expressed at the early time point and 3234 unique genes that are differentially expressed at the late time point.
A broad spectrum of differentially expressed metabolic genes not previously noted as targets of the GL3 or TTG1 transgenes was identified by mapping the EST sets to 34 MapMan functional categories (Fig. 7).
By mapping the gene sets to the developmental coexpression network, we have identified two out of eight modules that are enriched for ID only genes without also being enriched for ID and ASD genes or ASD genes (Fig. 1 and Supplementary Table S2).
The redundancy of each contig was estimated by mapping the whole genome set with a large Illumina read set and measuring the number of matched Illumina reads.
Namely, we extensively explored the single-nucleotide polymorphisms by mapping the huge data set of short reads of closely related species obtained by next-generation sequencing techniques.
The redundancy level of each single sequence was estimated by mapping the same large set of Illumina whole-genome shotgun reads as above onto each isolated RE, one by one.
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CEO of Professional Science Editing for Scientists @ prosciediting.com