Description Usage Arguments Details Value
Uses top binding windows to align probes and add corresponding design matrix to topModelMatch for regression based on feature design in model object.
1 |
data |
Table output by |
model |
Object of class model used to build design matrix from the output of |
Builds a design matrix for probes in data using the features contained in model. The following features will be added for use in the glm regression:
logProb: log(data$Probability)
N.Ax, N.Cx, N.Gx, N.Tx: A nucleotide at position x is represented by a set of 4 nucleotide variables that are equal to 0 or data$Round depending on the identity of the nucleotide in question. If reverse complement symmetry is being used, contributions from x and its reverse complement symmetric equivalent nucleotide, x', are both represented by a single block of 4 nucleotides.
fixedNddG: If useFixedValuesOffset.N == TRUE, fixedNddG is the ddG contribution from nucleotides not included in model@features@N@N.set.
Round.R: The round of a probe, r, is represented by a value of 1 in column Round.r and 0 in all other round columns.
Strand.[FR]: If includeDNAstrand == TRUE in model input, the DNA strand of the top view is represented by (data$Strand.F, data$Strand.R) equal to 0 or data$Round depending on which strand the top view is located on.
Strand.[FR]v: If includeView == TRUE in model input, the View and strand of the top view is represented by a set of variables data$Strand.[FR]v, where v is in [1, (number of views per strand)]. These variables are equal to data$Round if the top view is the one represented by that variable, or zero if not.
Shape.[shape]x: A shape parameter at position x is represented by a single variable Shape.[shape]x, which is equal to the shapeTable lookup value for the shape parameter at position x. A variable of this kind will be included for each shape in model@shapeParamsUsed[[1]] and each position in model@features@Shape@Shape.set
Data frame containing probes with design matrix built for regression input.
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