DEprot class
metadataThe data.frame corresponding to the metadata table describing the samples. Class: "ANY".
raw.countsNumeric matrix (rows: proteins, columns: samples) of the raw counts. Class: "ANY".
norm.countsNumeric matrix (rows: proteins, columns: samples) of the normalized counts. Class: "ANY".
random.countsNumeric matrix (rows: proteins, columns: samples) of the randomized counts. Class: "ANY".
imputed.countsNumeric matrix (rows: proteins, columns: samples) of the imputed counts. Class: "ANY".
log.baseNumeric value indicating the base of the logarithm expressing the values in the loaded data. Class: "ANY".
log.transformedLogical value indicating whether the data are log-transformed or not. Class: "logical".
normalizedLogical value indicating whether the data are normalized. Class: "logical".
normalization.methodString (or any other class) value indicating the normalization method. Class: "ANY". Class: "ANY".
randomizedLogical value indicating whether the bottom distribution randomization has been applied. Class: "logical".
randomization.methodList indicating the parameters used for the randomization (bottom distribution). Class" "ANY".
imputedLogical value indicating whether the data are imputed. Class: "logical".
imputation.methodString (or any other class) value indicating the imputation method. Class: "ANY".
boxplot.rawGgplot object showing the distribution of the raw values per sample. Class: "ANY".
boxplot.normGgplot object showing the distribution of the normalized values per sample. Class: "ANY".
boxplot.randomGgplot object showing the distribution of the randomized values per sample. Class: "ANY".
boxplot.imputedGgplot object showing the distribution of the imputed values per sample. Class: "ANY".
analyses.result.listFor this type of object the value is NULL. Class: "ANY".
contrastsFor this type of object the value is NULL. Class: "ANY".
differential.analyses.paramsFor this type of object the value is NULL. Class: "ANY".