a.) A box and whisker plot b.) A histogram c.) A dot plot d.) A scatter plot The box-and -whisker plot represents the number of points scored by teams in a soccer league last year. A) What are the range, interquartile range, and median o...
i Summary statistics of model performances. Reported accuracy is the mean across the distribution; red indicates statistically significant decoding. Source data are provided as a Source Data file. Full size image The importance of the conjunctive representations We next evaluated whether specific ...
By analyzing the statistics of 20 independent devices prepared at the same condition, the reproducibility of PSCs with P3HT, M-P3HT, and R-P3HT has been demonstrated. Figure2cpresents the histogram of the PCEs, where the average efficiency of P3HT is only 10.73%, much lower than that of R...
F Normalized PhyloP data from E transformed to display the correlation between eCLIP (y-coordinate) and the indicated methods (x-coordinate) as a function of the distance from peak center. Linear regression statistics and the line of unity (in red) are indicated on each plot. G Genomic ...
On each pair, a classification tree was constructed and tested using a computational statistic Matlab toolbox [24], where each gene was a node variable and in this way a gene forest with 500 trees was constructed. We used Gini's diversity index as the criterion for choosing a split. The ...
the statistics they represent. In contrast to histograms, bar charts are used for categorical data and it is a good practice to separate bars, one from the other, since the values on hor- izontal axis merely represent labels and do not have any numerical meaning whatsoever. Bar charts are ...
International Journal of Molecular Sciences Article Drug Repurposing for COVID-19 by Constructing a Comorbidity Network with Central Nervous System Disorders Jing Qian 1,†, Bin Yang 1,†, Shuo Wang 1, Su Yuan 1, Wenjing Zhu 1, Ziyun Zhou 1 , Yujuan Zhang 2,* and Guang Hu 1,3,4,5...
This study presents the design and validation of a numerical method based on an AI-driven ROM framework for implementing stress virtual sensing. By leveraging Reduced-Order Models (ROMs), the research aims to develop a virtual stress transducer capable of the real-time monitoring of mechanical stre...
Differential expression analysis was performed using the R package Limma (v3.52.4). A linear model was fitted to the data before empirical-Bayes-moderated t-statistics were calculated, and multiple-testing correction (Benjamin–Hochberg) was performed. Genes with log2...
This work compares the Micro-trips (MT), Markov chains–Monte Carlo (MCMC) and Fuel-based (FB) methods in their ability of constructing driving cycles (DC) that: (i) describe the real driving patterns of a given region and (ii) reproduce the real fuel consumption and emissions exhibited ...