Sentence examples for most similar patterns from inspiring English sources

Sheets with composite collagen and laminin had the most similar patterns of Acetylcholine-induced contraction to native intestinal tissue, corresponding to an increased protein expression of choline acetyltransferase.

We found that the genes with the most similar patterns of expression among all sources were CXCL-10 and CXCL-11 for M LPS,IFN) and CCL17 and CCL22 for M IL4,IL13).

Then each time a new trajectory is to be tracked as required by the high level planner, similar patterns of executions are looked-up in the DB and are merged by the weighted average sum of most similar patterns resulted from a sort algorithm using a distance metric.

They also have the most similar patterns of expression across tissues, when clustered in hierarchical trees.

Due to global search performed on the training patterns database to find the most similar pattern to the data event, SIMPAT suffers from a high computational load (Honarkhah and Caers 2010).

In other words, the algorithm evaluates the distance d for all existing patterns and picks up the pattern with the smallest distance as pat* T. Having selected the most similar pattern, dev T (u) is replaced by pat* T such that part of the values inside pat T * is pasted onto the simulation grid centered at the current location u (Caers and Arpat 2005).

To predict the reflectance corresponding to a novel SPD given the corresponding three cone responses, the ideal observer simply searches through the 25,000 'previous observations' to find the reflectance that generated the most similar pattern of cone responses.

The reported ITD is the ITD associated to the most similar pattern, that is, with the highest dot product.

The second most similar pattern is 18 exons separated by 17 introns with the loss of intron 1, which occurred in OsBgal11.

In a panel of 34 human tissues and 80 cell lines (NCI-60 and 20 additional cell lines) the most similar pattern of tissue distribution and level of expression was observed between TCF7L2 assay ex13-13b and CART (r = 0.85, p = 0.00046, Table  1).

In this type of cluster analysis, the distance between cases (persons) is calculated based on their values on the variables of interest (number of primary care visits during each of four years), and cases that are closest together in Euclidean space, i.e., that have the most similar pattern of values, are clustered together.