In near-field scanning optical microscopy, a light source or detector with dimensions less than the wavelength is placed in close proximity (λ/50) to a sample to generate images with resolution better than the diffraction limit.
In contrast to other validation studies of administrative algorithms, we measured fasting glucose levels on mailed-in blood samples to generate a new reference standard that took into account undiagnosed diabetes cases.
Figure 2A shows that DBE was transcribed above background exclusively in FSHD samples to generate an RNA that we named DBE-T (DBE-Transcript).
These methods typically require paired miRNA and mRNA measurements in a large number of samples to generate reliable predictions.
In an effort to generate a sample of novice learners, through interviews, we ascertained that all participants had no prior knowledge in programming-related subjects.
For the combined analysis of the GWAS and iCOGS, we reanalyzed the iCOGS data to remove samples also included in a GWAS, to generate independent datasets.
Each study was described as the corresponding log-normal distribution, and the distributions from the individual studies were sampled in a meta-analysis to generate a summary distribution.
It would be useful to validate the Brief-H-Neg and Brief-H-Pos in a general population sample and to generate normative data, as has been shown for two-item measures of depression (Patient Health Questionnaire, PHQ-2) and anxiety (Generalized Anxiety Disorder Scale, GAD-2).
Transcriptomic and proteomic samples were collected in a systematic manner to generate a comprehensive dataset that provides a powerful resource for modeling pathogen-host interactions.
As described in the methods, we used a Monte Carlo sampling technique to generate a set of 3000 random points uniformly distributed within the degenerate optimal region [ 35, 36].
