RMA is an algorithm used to create an expression matrix from Affymetrix data. The raw intensity values are background corrected, log2 transformed and then quantile normalized. Next a linear model is fit to the normalized data to obtain an expression measure for each probe set on each array. ...
Hence, it is part of the preprocessing of Affymetrix arrays to compute a single expression value for the different probe sets. One of the most popular algorithms for this purpose is MAS 5.0, developed by Affymetrix [1]. It is the algorithm that, for instance, was most frequently applied wit...
The simulation results for the proposed two-array and four-array circuits were 54.04% and 49.60%, respectively. These results indicate that the SVM algorithm did not achieve the expected success in finding the optimal hyperplane to predict the responses accurately. Logistic regression (LR) LR is ...
With the development of deep learning technology, great progress has been made in the field of coverless steganography based on deep learning technology, including some selection-based steganography methods that use deep learning technology and all gener
Despite effective, FedSGD is computationally expensive since each client has to communicate twice with the central server after every SGD step. To tackle this drawback, McMahan et al. (2017) propose the Federated Average (FedAvg) algorithm. FedAvg reduces the communication overhead by allowing mult...
array with the pitch size of 100 μm and focal length of 2,100 μm modulated the emission light into a 4D light field, with a 2D galvo system to shift the image plane periodically at high speed. Each microlens covered 13 × 13 sensor pixels for angular sampling. Multi-channel...
This makes the proxy model underestimate or overestimate the objective function values, which impedes the optimization algorithm to distinguish the best position among previously explored positions. To prevent deviations from the proxy predictions and the true results, the proxy model should be retrained ...
algorithm with custom feasibility and probability cuts. While our studied polyhedral ambiguity set subsumes the Wasserstein ambiguity set, total variation distance ambiguity set, and some moment-based ambiguity sets as special cases; it also allows the modeling framework and solution approach to be ...
Finally, machine intelligence was realized by introducing ANN algorithm to a sensor-integrated origami robot, which demonstrated autonomous robot navigation with high-accuracy trajectory prediction, and surrounding awareness navigation. Fig. 7: Computational design of ultra-robust strain sensors for ...
and the aging approach plays an overly significant role in the overall performance. In addition, when a clock-drift situation occurs, the overall delay has either a positive or a negative trend, which can further complicate the algorithm, especially when the histogram is meant to stay static wit...