In particular, we mixed data from a wide range of empirical studies including differences in simulated crime, lineup sizes, the similarity relations of fillers and suspects, exposure and retention intervals, the position of the suspect in the lineup, different types of biases, the presence of a...
To further investigate shape-of-curve similarity, we defined a symmetric distance measure (see Methods part 2 for analytical details; Fig.1bshowing the full dissimilarity matrix). Our comparison across the whole disease spectrum and two countries (US and Denmark) identified five clusters (see Suppl...
The flux-variance similarity relation and the vertical transfer of scalars exhibit dissimilarity over different types of surfaces,resulting in different pa... S Wang,Y Zhang,LU Shihua,... - 《Advances in Atmospheric Sciences》 被引量: 30发表: 2013年 Transfer Processes at the Air-Sea Interface ...
The separation between samples across body sites in the early PMI and similarity in the late PMI were more notable on the weighted unifrac-based plot. According to weighted unifrac PCoA, the buccal cavity samples in early PMI, the rectum samples in early PMI and the microbial communities (...
Various measures of sequence dissimilarity have been evaluated by how well the additive least squares estimation of edges (branch lengths) of an unrooted evolutionary tree fit the observed pairwise dissimilarity measures and by how consistent the trees are for different data sets derived from the ...
difference between input data and each class. The dissimilarity is an example of a scale (likelihood) expressing a possibility of belonging to each class, of the input data. Other examples of the likelihood include similarities, which indicate the degree of likeness between input data and each ...
The Jaccard index is a measure of similarity between sets and is defined by equation (1). Jaccard distance, a measure of dissimilarity between sets, is obtained by subtracting the Jaccard index from 1. In the case of genomic sequences, your set is comprised of words length k (i.e. kmer...
Equation (8.9) is known as the general time-reversible (GTR) distance [48,63] and is the most general formula to quantify the similarity between molecular data using a time-reversible Markov model of molecular evolution. It is worth noting that if in one hand the hypothesis of time-reversibi...
The Jaccard index and entropy distance: Another widely-used metric in the field of machine learning is the Jaccard index, also known as the Jaccard similarity coefficient, which is used for comparing the similarity and diversity of sample sets. The Jaccard coefficient is defined as the cardinality...
microorganisms Article Cloacal Swabs Are Unreliable Sources for Estimating Lower Gastro-Intestinal Tract Microbiota Membership and Structure in Broiler Chickens Travis Williams 1 and Giridhar Athrey 1,2,* 1 Department of Poultry Science, Texas A&M University, 101 Kleberg Center, 2472 TAMU, College ...