The Python language and its data science ecosystem are built with the user in mind, and one big part of that is access to documentation. Every Python object contains the reference to a string, known as adocstring, which in most cases will contain a concise summary of the object and how t...
The null P value distribution of co-expression between each bin pair formed a separate histogram curve. Central curve shows the median of all histogram curves. Shades show 50, 80, and 100% of all histograms. Gray line indicates uniform distribution. e No other method tested could recover ...
Non-primary and duplicate samples were excluded in the same manner as was done for the Kaplan–Meier curve analysis. Oncoscape integration Gene expression and survival data analysis result files were prepared according to the oncoscape instructions here: https://github.com/FredHutch/OncoscapeV3/blob/...
I have tested the program using Python 2.7.10 and 3.5. Discussion The goal is to show how to solve the probability density functions (PDFs) and use those solutions to approximate the area under a curve in order to obtain the z-value or, in the case of the z-value lookup, show how ...
The 2D CFE method considers the bonding layer as a geometric curve, and the selection of cohesion law to describe the progressive damage of the bonding layer has become the core problem of this analysis model. The common forms describing the traction and separation displacement of the adhesive ...
A threshold of 10% doublet-rate was finally applied to the resulting curve, which in turn allowed the identification of a set of high-quality STAMPs. A further threshold on the minimum number of detected transcripts was applied, so that STAMPs showing less than 1,000 detected molecules were ...
First: Calculate the stanine boundaries and draw the normal curve: ?View Code RSPLUS # First: Calculate stanine breaks (on a z scale) stan.z <- c(-3, seq(-1.75, +1.75, length.out=8), 3) # Second: get cumulative probabilities for these z values stan.PR <- pnorm(stan.z) # ...
Data were downsampled to 1 Hz and fitted to a second order exponential curve to correct for bleaching. This curve was designated as F0 and used to calculate δF/F = Ft-F0/F0, where Ft denotes the GCaMP6s signal at time t. To normalize fluorescence levels between mice, δF/F ...
This would also ensure that the observed trends were statistically significant, since patient heterogeneity could in principle contribute to variable peaks. For each peak detected in Young, Old or AD subjects, we measured the corresponding area under the curve in each patient and compared it across...
To automatically filter out low-quality profiles, we trained a random forest classifier on 2304 manually annotated single-cell profiles, which yielded a very high classification accuracy (area under the curve, AUC: 0.993) (Supplementary Fig. 10a–d, Supplementary Data 1, and Methods). By ...