The results of these kinds of analyses are represented by a rank order of the most important reactions or parameters, which provides an important starting point for the combinatorial analysis of these complex networks.
In other words, the distribution of the random vector U n can be found by the traditional combinatorial analysis when F=G. Unfortunately, when F≠G, we will not be able to establish the distribution of U n through Equation (7) as solving the multiple integral in Equation (8) is either tedious given some appropriate alternative distribution function or difficult.
Hereby, CII-specific T cells could be quantified and followed throughout development of CIA, and their phenotype was determined by combinatorial analysis with the early activation marker CD154 (CD40L) and production of cytokines.
Pilpel et al. [ 22] attempted to identify regulatory networks in yeast by a combinatorial analysis of promoter regions and gene expression data.
Among them, 62% of protein-coding genes have annotated polyA sites and 35% of transcripts are supported by combinatorial analysis of gene-cluster evolution (CAGE) cluster at the transcriptional start sites (TSSs) (Table 2) [3].
This has been accomplished by applying the well-known retrosynthetic combinatorial analysis procedure (RECAP) rules, leading to the introduction of RECAP-MMPs.
As a consequence, elucidating the mechanisms of substrate cleavage by calpains, requires complex combinatorial analysis of a wide range of amino acid sequences around substrate cleavage sites.
The most well known combinatorial analysis is that of Langton and Lewis (1998).
In the first method, a nonlinear programming problem (NLP) is formulated and is solved by using the successive quadratic programming algorithm (SQP) and combinatorial analysis.
The alternative is to use combinatorial analysis, to take every single data point and compare it to every other data point, looking for the best fit, unblinded by a hypothesis.
