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Among the nine most associated markers, we selected two: D8S0285i and D15S988.
Therefore, to work with a reasonable number of markers, we selected the 2069 supercontigs whose sizes were larger than 10 kb.
From these markers, we selected 1000 SNPs with probability proportional to p(1− p), where p is the allele frequency of a marker in the sample.
Among the M1 and M2 macrophage markers, we selected 10 markers and confirmed in RAW264.7 cells using the RT-PCR method.
To identify genes of interests, e.g. conceivable immunohistochemistry markers, we selected those genes which are differentially expressed between all three groups (Table 2).
Because JoinMap could not process >5500 markers, we selected all markers with comparative genomic information and an arbitrary set of the 8406 total linked markers to sum to 5466 markers.
Similar(50)
Based on the genotyped markers, we select the most diverse reference panel to impute the genotypes of the masked sites.
We transfected one pair of human lung cancer cell lines: 95C and 95D cells with the miR-101 vector and a vector encoding the antibiotic marker, we selected the antibiotic resistant colonies from the transfected cells; 2. We used the lentiviral construct with the viral helper to infect one human GBM cell line, U87MGD cells, and collected the cells at 48 72 h after infection.
To compare the correlations of SFAs and UFAs with each metabolic marker, we selected their largest coefficient with statistical significance to represent their strongest relationship with each metabolic marker.
When analyzing the inflammatory marker hsCRP, we selected 2.0 µg/mL as a threshold level based on results of the JUPITER study that suggested a clinical benefit to reducing inflammation for individuals with hsCRP >2.0 µg/mL.
Using SSR markers, we have selected a set of parental lines with maximized allelic diversity out of several hundred elite lines.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com