2 was also used to determine differentially expressed genes between pairs at a q-value of ≤0.05. PCA and correlation-based network analysis Principal component analyses were performed on the metabolite combined with the lipid dataset as well as on the gene expression datasets to determine clusters...
Background: In this paper, data from two studies relative to the relationship between the electroencephalogram (EEG) activities of two isolated and physically separated subjects were re-analyzed using machine-learning algorithms. The first dataset comprises the data of 25 pairs of participants where ...
In particular, given a training set of N input–target pairs 𝒳={(𝐱(𝑖),𝐲(𝑖))}𝑁𝑖=1, the quality of a particular configuration of parameters is quantitatively assessed by a loss function ℒ(𝒳,𝜽). It is important to note that the training data comprise samples 𝐱...
Load a standard machine learning dataset and calculate correlation coefficients between all pairs of real-valued variables. If you explore any of these extensions, I’d love to know. Let me know your success stories in the comments below. Further Reading This section provides more resources on...
In the control condition, seven gene pairs showed no correlation, whereas they showed a positive correlation in the waterlogging stress condition (0/+). In the control condition, there was a positive correlation between one pair of genes, but this correlation was not observed in the waterlogging...
segmented by using the K-means clustering method. We present correlations between the parameters and how they relate to each others in the respective domains, and also report on the performance of SVMs for regression, using the derived parameters as input-output pairs. The results demonstrate that...
Sometimes we might want to sort the values in the matrix and see the strength of correlation between various feature pairs in an increasing or decreasing order. Let us see how we can achieve this. First, we will convert the given matrix into a one-dimensional Series of values. ...
We present the results from our investigation of angular correlations between baryons pairs in the Pythia8 event generator. We show how colour reconnection models and hadronization mechanisms influence such angular correlations and in particular address the effect of gluons on the baryon production mech...
This limitation was soon addressed by splitting the strategy or scenario into pairs of alert types that can be correlated with common pre- and postconditions [18–20]. The correlation between alerts discovered in Templeton and Levitt [18], Cuppens and Miege [19], and Ning et al. [20] is...
But what if we want to evaluate the correlation among multiple pairs of variables? Then we use a correlation matrix. A correlation matrix is essentially a table depicting the correlation coefficients for various variables. The rows and columns contain the value of the variables, and each cell ...