Sentence examples for methods for unbiased from inspiring English sources

Several methods for unbiased RTF estimation have been proposed, e.g., by exploiting the non-stationarity of speech signals [13, 33] or based on the generalized eigenvalue decomposition of R Y and R N [34, 35].

Motivated by the great power of feature extraction methods for unbiased and unsupervised analyses in single datasets [ 18], we proposed a novel integrative approach Based on Feature Extraction (referred to iBFE below).

In this section we introduce two methods for unbiased comparisons in settings in which the YS effect we report on is present, and apply them to the comparison of DNA methylation tendencies (Fig.  4).

To develop and evaluate a standardised method for unbiased measurements of epithelial thickness taking the variability of the dermal papillae in consideration.

These findings illuminate new regulators and core principles of phagocytosis, and more generally establish an efficient method for unbiased identification of cellular uptake mechanisms across diverse physiological and pathological contexts.

This result was also supported by stereological analysis, a better method for unbiased cell counting (Figure 2C, 2D).

Given the limiting amount of patient material available to our group, we chose to employ a recently described method for unbiased amplification of CD8+ T cells to expand our frozen PBMCs prior to analysis [32].

The optical fractionator [141], [142] and dissector method for unbiased stereological cell counting was used to estimate the numbers of dopaminergic neurons using the Stereologer System and software (Stereology Research Center, www.disector.com).

Here, we present supersplat, a method for unbiased splice-junction discovery through empirical RNA-seq data.

Systematic search for genes whose gain-of-function by exogenous expression confers an advantage in cell-based selective screenings is a powerful method for unbiased functional exploration of the genome, and has the potential to disclose new targets for cancer therapy.

We developed statistical methods for an unbiased inference for the targeted therapy in patients who truly have the molecular targets.