Sentence examples for unbiased basis from inspiring English sources

It allows biologists a means to gather gene expression data on an unbiased basis, and can help to identify genes that may be further tested as the targets in hypothesis-driven studies.

Since priority but not exclusivity was given to SNPs close to relevant genes, 20 SNPs were selected on a completely unbiased basis and 67 were selected from the unbiased shortlist because they were close to a relevant gene (Supplementary Data 1).

To probe the B7-H4-associated pathways on an unbiased basis, we performed GSEA using data from the TCGA.

Nevertheless, due to our population-based design, the evidence presented here provides a reliable and unbiased basis to update clinical follow-up guidelines in relation to bone sarcoma survivors diagnosed before age 15 and treated before 1992 in Great Britain by using cancer diagnosis as a proxy.

In this context, we applied recent techniques in the field of RNA-Seq for annotating the transcriptional landscapes not only for C. dubliniensis but also for C. albicans to gain a solid and unbiased basis for the cross-species comparison regarding the genetic repertoires and their regulation.

To probe the OCT1-associated pathways on an unbiased basis, we performed GSEA using high throughput RNA-sequencing data of the GC cohort of The Cancer Genomic Atlas project (TCGA, 282 patients) and a multi-tumour dataset (including 64 human tumours and 27 normal tissue samples) from the Gene Expression Omnibus database.

A complete list of species for each dataset is in Supplementary File 4. After having firmly established that cDNA provides an unbiased data basis, CpG o/e clustering was carried out on the 142 species for which CDS or cDNA were available.

P.H.C.S. data serve as a valid, unbiased and useful basis for health plans to use in making their reimbursement decisions.

Archer and colleagues then performed microarray analysis on these samples, on an unbiased transcriptome-wide basis.

This approach underestimates the contributions but provides a basis for unbiased comparisons.

To overcome this bias problem, we present a counterfactual inference framework that provides the theoretical basis for unbiased LTR via Empirical Risk Minimization despite biased data.