The filter is essentially a curvelet of adjustable anisotropy and orientation that can be tuned on any given (target) wavenumber; while retaining the properties of curvelets, it is not bound to the scaling rules of the Curvelet Frame but is individually steerable to any local trait of the data, hence it is dubbed "Curveletiform".
The expected percentage of promoter binding by ESC transcription factors was only 28% (Z = 4.45, p < 10−15), indicating that it is a significant trait of the data set.
The dose of RFP-PH used to delineate the plasma membrane (150 µM in pipette) was more than two-fold lower than the saturation point, and did not have an effect on Ca2+ signaling or other physiological traits of the eggs (data not shown).
Two pure parental strains belonging to the laboratory strain (BY) and the wine strain (RM) and their mosaic segregants were compared with the 501 morphological traits of the published data [ 12].
In this lesson for grades 9 12 from the National Institutes of health, students conduct a class-wide inventory of human traits, construct histograms of the data they collect, and play a brief game that introduces students to major concepts related to human genetic variation.
After correcting for total GMV, age, BMI, years of education and trait anxiety, the data shows that relative to the BPAN group, the RAN group, had significantly lower GMV in the left cerebellum, bilateral parahippocampal gyrus, right anterior insula and left orbitofrontal cortex (OFC) (P < 0.001).
Johnson transformations (Minitab 15, Minitab Inc., Quality Plaza, PA) were implemented before analysis of the wattles length trait as the data deviated from normality (data not shown).
Dimensionality reduction using principal component analysis (PCA) is based on a very important trait that is variance of the data.
When the significant SNP with the smallest sums of squares was detected close to the one detected in the full data set (<40 markers away for the 60 K assay, <100 markers away for the 800 K assay) for each trait and for each half of the data, the position of the corresponding SNP (for the first and second half of the data, respectively, for trait, significant replicate l) was retained.
"We used a statistical technique to remove these observer differences before extracting personality traits from the data," Mark Adams, a member of the research team, told BBC Nature.
Within the final chosen model for both analyses, the fit statistics obtained point to a less than well-specified structure of latent traits present within the data.
