To further investigate iMatrix and PPI matrices, we inferred the 701,897 potential peptide antigens with significant statistic from 389 pathogen genomes and modelled the TCR-pMHC interactions using available TCR-pMHC complex structures.
With the PHYLIP package v3.68 [ 145] we constructed a neighbour-joining tree for the resulting 100 distance matrices and we inferred the majority rule consensus tree with support values for the splits in the consensus tree.
By incorporating the regulatory network information with the regulatory strength matrix, we have further inferred the activities and interactions between transcription factors and their target genes.
However, we now add a user-defined parameter β and the ability to edit M, the input distance matrix, when we infer that an edge is likely missing (i.e. is a false negative).
From the received packets arranged row-wise in a matrix, we have to infer first which packet(s) is are) in error, and then, within this(these) packet(s), where the error locations are and their values.
We see thus that from the transition matrices we can infer information both about the degree of persistence in each quintile and the degree of mobility across different quintiles.
We inferred CR distance matrices using all possible (a total of 22) combinations of conditioning genomes.
To interpret these components, we infer the matrix P(C m, O m | F m, Θ) of size of K× T using Equations (2) and (14), or (15) for each region.
From the Leslie matrix K, we can infer the population's long term rate of increase,, as a fitness measure, which allows us to estimate selection differentials for the particular year (see description below).
First, the correlation matrix is inferred from the data.
