Sentence examples for between two sequences according from inspiring English sources
Grey relational analysis is used to judge the correlation between two sequences according to the geometry shapes of curves.
We now discuss adaptations of our trie for computing the compositional distance between two sequences according to Expression 3. It is convenient to subdivide the discussion into two parts, handling first the easier case of branching nodes, i.e., nodes that correspond to maximal words.
The basic concept of this approach is to sequentially perform pair-wise alignments between two sequences of affinity scores, between a sequence and a profile, or between two profiles, according to the phylogenetic tree of the six species.
Sequence alignment is a way to identify regions of similarity between two sequences of genome data.
The bit scores were normalized according to the following equation (Dufour et al. 2010): (1) with 0 ≤ Sim x, y) ≤ 1, where Sim x, y) represent the normalized sequence similarity between two sequences x and y.
The procedure therefore involved training to distinguish between three spatial sequences timed according to two temporal sequences from five runs and testing the difference between the spatial sequence patterns paired with the remaining different temporal sequence from the remaining run, resulting in a 18-fold cross-validation procedure.
About 1.9 million people used the sequence, according to analysis of data lost in the leak.
For each match, the extent of overlap between the two sequences was calculated along with a maximum number of mismatches according to the input percent identity requirement.
Divergence time between two homologous protein-coding sequences was calculated according to the formula T = pS/(2r) where T is the time of divergence, pS the number of synonymous mutations per synonymous sites between the two sequences and r the synonymous substitution rate.
The secondary transmitter and receiver jump across channels according to these two sequences.
