.baseDir | Change base dir for '.runCache |
.biomartLoad | Common call to biomaRt to avoid repetitive code |
.buildFunctionDigest | Build digest of function from the actual code |
.cacheCompression | Change cache.compression for run_cache |
.calcPenalty | Calculate penalty based on data |
.calculateResult | Calculate/load result and save if necessary |
.combinedScore | Calculate combined score for STRINGdb interactions |
.createDirectoryForCache | Create directories for cache |
.curlWorkaround | Workaround for bug with curl when fetching specific ensembl mirror |
.degreeGeneric | Generic function to calculate degree based on data |
.digestCache | Default digest method |
.networkGenericParallel | Calculate the upper triu of the matrix |
.networkWorker | Worker to calculate edge weight for each pair of ixI node and following |
.runCache | Run function and save cache |
.runCache-method | Run function and save cache |
.saveRunCache | Saving the cache |
.showMessage | Show messages option in .runCache |
.tempdirCache | Temporary directory for runCache |
.writeReadme | Write a file in run-cache directory to explain the origin |
balanced.cv.folds | Create balanced folds for cross validation using stratified sampling |
balancedCvFolds | Create balanced folds for cross validation using stratified sampling |
buildLambda | Auxiliary function to generate suitable lambda parameters |
buildStringNetwork | Build gene network from peptide ids |
cv.glmDegree | Calculate cross validating GLM model with network-based regularization |
cv.glmHub | Calculate cross validating GLM model with network-based regularization |
cv.glmOrphan | Calculate cross validating GLM model with network-based regularization |
cv.glmSparseNet | Calculate cross validating GLM model with network-based regularization |
degreeCor | Calculate the degree of the correlation network based on xdata |
degreeCov | Calculate the degree of the covariance network based on xdata |
downloadFileLocal | Download files to local temporary path |
ensemblGeneNames | Retrieve ensembl gene names from biomaRt |
geneNames | Retrieve gene names from biomaRt |
glmDegree | Calculate GLM model with network-based regularization |
glmHub | Calculate GLM model with network-based regularization |
glmOrphan | Calculate GLM model with network-based regularization |
glmSparseNet | Calculate GLM model with network-based regularization |
hallmarks | Retrieve hallmarks of cancer count for genes |
heuristicScale | Heuristic function to use in high dimensions |
hubHeuristic | Heuristic function to penalize nodes with low degree |
my.colors | Custom pallete of colors |
my.symbols | Custom pallete of symbols in plots |
myColors | Custom pallete of colors |
mySymbols | Custom pallete of symbols in plots |
networkCorParallel | Calculates the correlation network |
networkCovParallel | Calculates the covariance network |
networkOptions | Setup network options |
orphanHeuristic | Heuristic function to penalize nodes with high degree |
protein2EnsemblGeneNames | Retrieve ensembl gene ids from proteins |
separate2GroupsCox | Separate data in High and Low risk groups (based on Cox model) |
string.network.700.cache | Cache of protein-protein network, as it takes some time to retrieve and process this will facilitate the vignette building |
stringDBhomoSapiens | Download protein-protein interactions from STRING DB |