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We found that predictive genes from adjacent normal tissue were selectively enriched in network re-arrangements and enriched for genes that associate with CNA associated tumorigenesis, strongly suggesting that these genes represent important functions targeted for alteration in tumors.
In a genome-wide association analysis (GWAS), single-nucleotide polymorphisms (SNPs) in genes that associate with plasma Hcy concentration were identified.
A previous DamID study in Drosophila Kc cells identified hundreds of genes that associate with the NL [7].
Similarly, the two other genes that associate with POLL, AY104948 and AY104530, are also expressed in vegetative tissue.
It has been demonstrate that these types of modules are enriched for known biological pathways for genes that associate with disease traits and for genes that are linked to common genetic loci [6], [35].
These approaches first identify differentially-expressed genes within microarray data, and then evaluate the performance of pre-defined functional gene categories (or networks) to identify the genes that associate with the phenotype of interest (see [9] for a comprehensive review of these approaches).
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This separation was based upon the cluster of genes that associated strongly with μ-crystallin (Table S7) and were expressed only in RPCs during later timepoints (see below).
Differentially expressed genes that associated with a canonical pathway in the Ingenuity Pathways Knowledge Base were considered for evaluation.
Therefore, we asked if the predictive genes (Additional File 6, 7, 8 and 9, Table S3) were enriched for genes that associated with cis-acting CNAs in tumors.
However, some newly articles reported that the single nucleotide polymorphism (SNP) of some genes that associated with T1D and T2D is also showed relevancy with LADA [ 9].
By using a cut-off value of 10−5 as the threshold, we identified more than 200 annotated genes that associated with these two novel transcripts.
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