Description Usage Arguments Details Value Examples
View source: R/RNV.ranking.order.factor.R
Gives the name and values of the RNV-ranking-order factor
1 | RNV.ranking.order.factor(A_fun,correl_fun,E_ini_fun,B_fun=NULL)
|
A_fun |
Numeric vector of activities |
correl_fun |
Character string indicating the abbreviation of the constraint applied on the system |
E_ini_fun |
Numeric vector of initial concentrations. |
B_fun |
Numeric vector of global co-regulation coefficients |
Factors governing ranking order of RNV
RNV-ranking-order factor depends on constraint. It would be:
in case of independence (correl_fun="SC"
): activities A
power 1/3;
in case of competition only (correl_fun="Comp"
): activities A
power 1/4;
in case of regulation only (correl_fun="RegPos"
or "RegNeg"
): absolute value of inverse of global co-regulation coefficients |1/B|
;
in case of competition and regulation (correl_fun="CRPos"
or "CRNeg"
): absolute value of inverse of global co-regulation coefficients minus initial relative concentrations |1/B - e0|
.
Invisible list of 2 elements:
$value
: numeric vector (length n
) of the values of the RNV-ranking-order factor for each enzymes
$name
: character sting indicating the name of the RNV-ranking-order variable
1 2 3 4 5 6 7 8 9 10 11 | A <- c(1,20,30)
E0 <- c(30,30,30)
#Independence
rank_var <- RNV.ranking.order.factor(A,"SC",E0)
all.equal(A^(1/3),rank_var$value) #TRUE
#Positive regulation
B <- 1/c(0.2,0.5,0.3)
rank_var <- RNV.ranking.order.factor(A,"RegPos",E0,B)
all.equal(1/B,rank_var$value) #TRUE
|
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