exp | |
tr | do matrix transpose |
dims | get summary information about the HTS matrix dimensions |
as.expr_list | convert the matrix into row gene list |
setTag | set a new tag string to the matrix |
setZero | set the expression value to zero if the expression value is less than a given threshold |
setSamples | set new sample id list to the matrix columns |
setFeatures | set new gene id list to the matrix rows |
filterZeroSamples | filter out all samples columns which its expression vector is ZERO! |
filterZeroGenes | removes the rows which all gene expression result is ZERO |
filterNaNMissing | set the NaN missing value to default value |
load.expr | load an expressin matrix data |
load.expr0 | read the binary matrix data file |
load.matrixView | Load the HTS matrix into a lazy matrix viewer |
matrix_info | get matrix summary information |
write.expr_matrix | write the gene expression data matrix file |
filter | Filter the geneID rows |
as.generic | cast the HTS matrix object to the general dataset |
average | calculate average value of the gene expression for this method can be apply for reduce data size when |
z_score | Z-score normalized of the expression data matrix To avoid the influence of expression level to the
x is value to be converted (e.g., a expression value |
pca | do PCA on a gene expressin matrix |
totalSumNorm | normalize data by sample column |
relative | normalize data by feature rows |
expression.cmeans_pattern | This function performs clustering analysis of time course data. |
expression.cmeans3D | run cmeans clustering in 3 patterns |
savePattern | save the cmeans expression pattern result to local file |
readPattern | read the cmeans expression pattern result from file |
cmeans_matrix | get cluster membership matrix |
pattern_representatives | get the top n representatives genes in each expression pattern |
split.cmeans_clusters | split the cmeans cluster outputsplit the cmeans cluster output into multiple parts based on the cluster tags |
peakCMeans | clustering analysis of time course dataThis function performs clustering analysis of time course data |
expr_ranking | |
deg.t.test | do t-test across specific analysis comparision |
log | log scale of the HTS raw matrix |
geneId | get gene Id list |
as.deg | create gene expression DEG model |
deg.class | |
joinSample | do matrix join by samples |
aggregate | merge row or column where the tag is identical |
add_gauss | add random gauss noise to the matrix |