As experimental results, we compare the performance of different algorithms in terms of average and standard-deviation of computational times. On the ARM Cortex A9 processor, we showed that Shellsort is 14–72% faster than others sorting algorithms if \\(n > 64\\) , otherwise Timsort ...
as well as estimate Ω, the dispersion index ofτ, (Var(τ)/E(τ)). If one conducts the analysis using a partially constrained model where the number of divergence times (Ψ) is held to a single value across theYtaxon-pairs, one can subsequently estimate each of the Ψ divergence times...
And, the efficient iterations of excellent algorithms are about 300 on low dimensionality, wide search space and simple-complexity problems, while other types are as large as possible. In terms of algorithm speed, LSO, DE and RSA are the fastest on all the three benchmark sets, and the run...
For example, if DR incorrectly places some cells in the wrong place in the reduced space, these cells could be mistakenly labeled as a "new" differentiation stage of another irrelevant cell type instead of their actual cell types. Traditional linear DR algorithms such as Prin- cipal Component ...
algorithms that belong to the bagging family of decision tree-based methods. Random Forest, which was introduced by Breiman [10]. Random Forest builds upon the Bagging principle with an added improvement. In a Random Forest, each tree is constructed using a random subset of features and samples...
Mean fold changes were calculated using a simple division of raw expression values between experimental sample and control. Northern blot analysis Microarray data were confirmed by Northern blot analysis using the same total RNA samples that were used in the microarray analysis or total RNA isolated ...
For each replicate of the Smart-seq2 protocol, we sorted mESCs by fluorescence activated cell sorting (FACS) into 96-well PCR plates containing lysis buffer and the ERCCs. We generated cDNA as described (Picelli et al., 2013, Picelli et al., 2014b), and we used an in-house-produced ...
In the ladder graph, each curve represents the evolution of the giant component size as more nodes are deleted, for one of the 13 algorithms here considered (see Section 2.2 for details); the legend also reports the corresponding R values and computation times. It can be seen that results ...
(right). In the ladder graph, each curve represents the evolution of the giant component size as more nodes are deleted, for one of the 13 algorithms here considered (see Section 2.2 for details); the legend also reports the correspondingRvalues and computation times. It can be seen that ...
algorithms that belong to the bagging family of decision tree-based methods. Random Forest, which was introduced by Breiman [10]. Random Forest builds upon the Bagging principle with an added improvement. In a Random Forest, each tree is constructed using a random subset of features and samples...