Description Usage Arguments Value Author(s) References Examples
Shannon entropy
1 |
vector |
A vector of numbers, or characters. Discrete probability of each item is calculated and the Shannon entropy is returned. |
Shannon entropy
Shannon entropy can be used as measures of gene expression specificity, as well as measures of tissue diversity and specialization. See references below.
We use 2
as base for the entropy calculation, because in this
base the unit of entropy is bit.
Jitao David Zhang <jitao_david.zhang@roche.com>
Martinez and Reyes-Valdes (2008) Defining diversity, specialization, and gene specificity in transcriptomes through information theory. PNAS 105(28):9709–9714
1 2 3 4 5 6 7 |
Loading required package: Rcpp
Loading required package: Biobase
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, sd, var, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, basename, cbind, colMeans, colSums, colnames,
dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
intersect, is.unsorted, lapply, lengths, mapply, match, mget,
order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
union, unique, unsplit, which, which.max, which.min
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[1] 3.169925
[1] 0
[1] 4.70044
[1] 4.70044
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