The count table, a numeric matrix of genes × cells, is the basic input data structure in the analysis of single-cell RNA-sequencing data. A common preprocessing step is to adjust the counts for variable sampling efficiency and to transform them so
By using the hardware of modern graphics Workstations for accelerating wavelet decomposition and reconstruction we realize a first important step for removing lags in the visualization cycle.DOI: 10.1007/978-3-7091-6783-0_10 被引量: 155
George Box and Sir David Cox collaborated on one paper (Box, 1964). The story is that while Cox was visiting Box at Wisconsin, they decided they should write a paper together because of the similarity of their names (and that both are British). In fact, Professor Box is married to the...
4). The control ANN’s hidden layer also had significantly weaker similarity to the empirical RSMs at each parcel (Supplementary Fig. 4d). Task-performing neural network simulations via empirical connectivity The previous sections provided the groundwork for constructing an ENN model from empirical ...
One may hand-craft a heuristic "similarity function" between columns that may work for this simple example, but imagine the common scenario where all these column have similar-looking integer num- bers (e.g., with no dollar signs and percentage signs), which is much more challenging to ...
[18] proposed to learn the sample relations and perform joint optimiza- tion in a mini-batch. CuDi [21] proposes curve distillation to extract knowledge from large curve-based teacher net- works. CLIP-LIT [24] proposes a prompt learning frame- work includi...
In this data viewer, you will see that the input Name and reference table column, in this case, it is Full Name. When the _Similarity is 1, it is exactly a match. Confidence defines the quality of the match. Next is to work with these confidence levels. We can use a Conditional Spl...
ACL can parameterize complex functions and z can be exactly recovered given z′: z_a = ({z'_a - \psi (z_b)})/{\Psi (z_b)} \label {eq:invert} (7) Noting the similarity of equations 6 and 7 to the simplified form of Eq. (2), we parallel this cons...
(ρi, ρj) quantifies the similarity between two atomic environments, which is also the covariance between local energies. Gaussian process regression (GP) assumes a Gaussian joint distribution of all the training data {(ρi, yi)} and test data (ρ, y). The posterior distribution ...
In this case, in addition to processing the visual features, one must mentally “rotate” one or both objects to decide their similarity. Such sensorimotor and mental transformations are ubiquitous and can powerfully impact behavior13,17,18,19,20,21,22. Motivated by the success of normative ...