After verifying that it is meaningful to compare E TF and A TG across heterogeneous samples, we asked whether the samples observed with high-TF expression and high-TG activity (TF+TG+) and the biological contexts enriched with a TF+TG+ regulatory pattern were biologically meaningful.
Whether used knowingly or unknowingly, the use of general wording is one way to reduce the unexplained variance across heterogeneous samples, since ratings of more specifically worded items is influenced to a greater extent by individual differences and situational characteristics than ratings of generally worded content.
This issue raises questions regarding the realm of research conducted through online learning systems that can be used for quick replication, tackling issues longitudinally and across highly heterogeneous samples.
We reasoned that if there were strong laboratory or batch effects that overwhelmed the biological signal, we would observe weak to zero correlation between E TF and A TG across the heterogeneous samples.
Furthermore, subsequent studies should aim for a replication of the factor structure across other, more heterogeneous samples, as the sample in this first study is rather homogenous with regard to age and education.
Archer and Jockers argue that this ability to predict mainstream appeal across a heterogeneous sample makes the algorithm a clearer reader than many a critic and acquisitions editor — and that it has detected a "distinct set of subtle signals" separating best-sellers from the rest of the bunch.
Also contributing to the low correlations, specific treatment-related events often vary across individuals, thereby reducing the correlations observed between measures of specific events and practitioners' general clinical assessments across a heterogeneous sample of patients.
We examine the relative performance across a range of metrics, including targeting efficiency, replicability of performance across heterogeneous DNA samples, uniformity of coverage, and genotype concordance with independently derived genotype data from Illumina Infinium 1M arrays.
Integrative data analysis, the process of pooling and analyzing data from multiple studies, produces larger and more heterogeneous samples with which to evaluate measurement equivalence across the full continuum of smoking quantity and frequency.
Templates can be prepared for the PacBio RS II without PCR amplification, resulting in more uniform sequence coverage across genomic regions regardless of GC content, facilitating the detection of minor variants in heterogeneous samples.
Subsets of informative blocks were further identified for deconvolution of heterogeneous samples.
