get_ceRNA: Find Specific ceRNA (Gene)
In IceQueen1996/spongeAPI: User Friendly Application Of The SPONGE API

Description Usage Arguments Value Examples

Get all ceRNAs in a disease of interest (search not for a specific ceRNA, but search for all ceRNAs satisfying filter functions).

get_ceRNA(
  disease_name,
  ensg_number = NULL,
  gene_symbol = NULL,
  gene_type = NULL,
  minBetweenness = NULL,
  minNodeDegree = NULL,
  minEigenvector = NULL,
  sorting = NULL,
  descending = TRUE,
  limit = 100,
  offset = NULL
)

`disease_name`	Name of the specific cancer type/dataset. If default is set, all available datasets with corresponding informations are shown. Fuzzy search available.
`ensg_number`	A vector of ensg number(s). If ensg number is set, gene symbol and gene type must be NULL. One of the three identifiers must be provided.
`gene_symbol`	A vector of gene symbol(s). If gene symbol is set, ensg number and gene type must be NULL. One of the three identifiers must be provided.
`gene_type`	Defines the type of gene of interest. One out of [3prime_overlapping_ncRNA, antisense, antisense_RNA, bidirectional_promoter_lncRNA, IG_C_gene, IG_C_pseudogene, IG_V_gene, IG_V_pseudogene, lincRNA, macro_lncRNA, miRNA, misc_RNA, Mt_rRNA, polymorphic_pseudogene, processed_pseudogene, processed_transcript, protein_coding, pseudogene, ribozyme, rRNA, rRNA_pseudogene, scaRNA, scRNA, sense_intronic, sense_overlapping, snoRNA, snRNA, TEC, TR_C_gene, TR_V_gene, TR_V_pseudogene, transcribed_processed_pseudogene, transcribed_unitary_pseudogene, transcribed_unprocessed_pseudogene, translated_processed_pseudogene, unitary_pseudogene, unprocessed_pseudogene, vaultRNA].
`minBetweenness`	Threshold of the betweenness.
`minNodeDegree`	Threshold of the degree.
`minEigenvector`	Threshold of the eigenvektor.
`sorting`	Possibilities for sorting of the results. Possible values are "degree", "betweenness" or "eigenvector".
`descending`	Descending (TRUE, default) or ascending (FALSE) ordering of the results.
`limit`	Number of results that should be shown. Default value is 100 and can be up to 1000. For more results please use batches, the provided offset parameter or download the whole dataset.
`offset`	Starting point from where results should be shown.