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From the three databases mentioned above, we collect 2, 283 transcription factors which can be mapped to microarray probes.
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The network was constructed for every gene that could be mapped to a microarray probe-set using BioMart [ 42].
Protein expression ratios were determined for 354 genes, of which 148 could be mapped to both microarray and 454-sequencing data.
Over 30% of the TFs identified by Rushton et al., [ 23, 24] in a genome scale survey of tobacco could be mapped to unigenes on the microarray.
Several of the identified genes could be mapped to QTLs, and therefore microarray analysis may be a valuable tool for cloning arthritis controlling genes and improving our understanding of their biological pathways.
41,648 of the probe sets on the microarray could be mapped to 31,929 of the SGN unigenes, indicating approximately 38% coverage of the SGN unigene build by the microarray.
All 50 genes included in the prediction analysis of microarray (PAM 50 classifier could be mapped to the Agilent platform used.
Data from high-throughput experiments, like microarrays and metabolomics, can be mapped to this model to have an overview of metabolic changes under different media conditions.
To assess relationships between the group-specific gene sets and response to anti-TNFα treatment, each group-specific gene set was mapped to the microarray expression dataset generated by [ 15] utilizing all available matching genes.
These transcripts were further extended in silico as described in Methods, and the extended transcripts were mapped to Affymetrix GeneChip microarray qualifiers.
Poplar FLcDNA sequences were mapped to a cDNA microarray containing 15,496 poplar ESTs [[ 11]; Gene Expression Omnibus (GEO) platform number GPL5921] using BLASTN with a stringent threshold of ≥ 95% identity over ≥ 95% of alignment coverage.
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