We quantify reproducibility of intra-visit and inter-visit variability through L2 distances and Hausdorff distances between pairs of segmentations, and show that our method results in a statistically significant improvement by a factor of 1.63 to more than 3-fold....
Function ndiff(a, b): Return a delta: the difference between `a` and `b` (lists of strings). Function restore(delta, which): Return one of the two sequences that generated an ndiff delta. Function unified_diff(a, b): For two lists of strings, return a delta in unified diff ...
*helpers for showing side-by-side, line-by-line diffs or text with inter-line and intra-line change highlights 45+ *customization of diff algorithm for better experience while computing diffs between strings (ignoring blank lines or spaces, etc) ...
Initially, we compute the difference between adja- cent rows in dk, and then take the absolute value to main- tain consistent gradient orientation. This absolute differ- ence is reassigned to the current row, enhancing the edge cue feature map in the ...
Specifically, an inter-layer attention module is designed to encourage information exchange and learning between layers, while a text-guided intra-layer attention module incorporates layer-specific prompts to direct the specific-content generation for each layer. A layer-specific prompt-enhanced module ...
Functional differences between mouse oocyte and preimplantation embryos – intra-species comparative transcritpomics To study the functional differences among transcriptomes from the same species, we applied GO-Diff to analyze dbEST libraries of mouse-unfertilized eggs and different developmentally staged mous...
andμ~s′respectively. Furthermore, we can use the distance between the mean elements of two distributionsp,p′, (the maximum mean discrepancy, MMD) as test statistics. Intuitively, the greater the distance, the more different the two distributions are. For a given peakl, the dissimilarity be...
(Fig.2). The dataset must be formatted as an R Seurat object54,55,56and contain cells annotated by cell types and by the two conditions on which the differential analysis will be performed. The package then considers all possible interactions between each cell-type pair, based on the LRIs ...
processing, counting into bin pairs, filtering out low-abundance events and normalization of trended or CNV-driven biases. It uses the statistical framework of the edgeR package to model biological variability and to test for significant differences between conditions. Several options for the ...
(A) Volcano plot of differential TF activity between U-CLL (n = 27 biological replicates) and M-CLL (n = 25 biological replicates). Significance threshold (10% FDR) is indicated with a dotted line. TFBS, number of predicted TFBSs. p values are obtained through diffTF using the empirical...