Dependent non-stationary time seriesSimilarity statisticsTree-ring analysisTime seriesA fundamental assumption in dendroclimatology is that the common signal produced by multiple trees of the same species, grow
The question addressed here is how to infer similarity between two gene profiles consisting of ρ' sample points, considering usually ρ' < 10. One can think of some points worth to consider when idealizing an efficient method: 1. The function that relates co-regulated genes is not ...
The notion of similarity between disciplines has its origin in the contrast between taxonomies at different level of granularity: research areas falling under the same academic disciplines are more similar than researches conducted in separate disciplines. In addition, research areas and academic discipline...
Measuring the semantic similarity between Gene Ontology (GO) terms is an essential step in functional bioinformatics research. We implemented a software named GOGO for calculating the semantic similarity between GO terms. GOGO has the advantages of both
, defining two sets of binding sites, x and y , of the same length (width) at given threshold levels. one can directly apply the jaccard measure to estimate the similarity between these two models: j x , y = x ∩ y x ∪ y where | x | is the size of the set x of binding ...
Let us first compute the similarity between the first two vectors. It is s1(x1,x2)=1−|1.2−0.3|/9.7=0.9072s2(x1,x2)=1−|1.5−0.4|/12.6=0.9127s3(x1,x2)=1−|1.9−0.6|/14.4=0.9097s4(x1,x2)=0and s5(x1,x2)=0 Also, w4 = 0, while all the other weight factors...
There is a striking similarity between the role of the zonal sphere polynomials in the orthogonal case, and that of the Schur function in the Hermitian case.\\ Following this we obtain a combinatorial approximation for the probability of real symmetric matrix of a given spectrum to appear as ...
(e.g., Parametric Go-No go Task, percent correct to inhibitory trials), middle range C, i.e., middle range variance between participants (middle, e.g., Cambridge Face Memory Test), and high C, corresponding to low variance between participants (right, e.g., Mnemonic Similarity Task). ...
Assuming that the subject of each scientific publication can be identified by one or more classification entities, we address the problem of determining a similarity function (distance) between classification entities based on how often two classification entities are used in the same publication. This...
The similarity measure for two PWMs, taking into ac- count their thresholds, was first introduced in MoSta [13], which computes the correlation between the num- bers of hits of two PWMs in a random DNA sequence. MoSta uses non-normalized matrices of integer letter counts. Still, in ...