Introduction Data normalization and mean-centering are essential preprocessing techniques used to prepare data for analysis and modeling. These methods ensure that data features are scaled ...

Abstract: Bitcoin is a high-risk asset with a potentially high return. Predicting Bitcoin candlestick, i.e., open, high, low, and close (OHLC) prices, can help investors make trading decisions. This ...

Abstract: Normalization techniques are essential for accelerating the training and improving the generalization of deep neural networks (DNNs), and have successfully been used in various applications.

Batch normalization seems to perform better than layer and group normalization. This is because batch normalization addresses the Internal Covariate Shift. Batch normalization introduces slight ...

We have assessed the utility of RNA titration samples for evaluating microarray platform performance and the impact of different normalization methods on the results obtained. As part of the ...

Metagenomic time-course studies provide valuable insights into the dynamics of microbial systems and have become increasingly popular alongside the reduction in costs of next-generation sequencing ...

A western blot is supposed to give you information on true experimental conditions or differences between samples. It is instrumental for the detection of proteins in research discovery and biopharma.