BiocGenerics

S4 generic functions for Bioconductor

Maxima and minima

The Interquartile Range

Generic Ontology getter

S3 classes as S4 classes

Accessing annotation information

Append elements to a vector-like object

Coerce to a data frame

Coerce to a list

Coerce an object into a vector

Box plots

Combine objects by rows or columns

Apply operations using clusters

Form Row and Column Sums and Means

Combining or merging different Bioconductor data structures

Accessing SQLite DB information

Kernel density estimation

Accessors and generic functions used in the context of count datasets

Get the dimensions of all elements in a list-like object

Execute a function call

Determine duplicate elements

Evaluate an (unevaluated) expression

Evaluate an (unevaluated) expression

Accessing the file name of an object

Common higher-order functions in functional programming languages

Return the value of a named object

Pattern Matching and Replacement

Display a color image

Test if a vector-like object is not sorted

Apply a function over a list-like or vector-like object

Median Absolute Deviation

Apply a function to multiple list-like or vector-like arguments

Value matching

Arithmetic Mean

Normalize an object

The number of rows/columns of an array-like object

Ordering permutation

Organism and species accessors

Concatenate strings

Accessing the path of an object

MA-plot: plot differences versus averages for high-throughput data

PCA-plot: Principal Component Analysis plot

Ranks the values in a vector-like object

Re-listing an unlist()ed object

Replicate elements of a vector-like object

Extract model residuals

Row and column names

Score accessor

Set operations

Sorting a vector-like object

The start(), end(), width(), and pos() generic getters and setters

Accessing strand information

Subsetting vector-like, matrix-like and data-frame-like objects

Matrix Transpose

Cross tabulation and table creation

Apply a function over a ragged array

Run RUnit package unit tests

An alternative to as.data.frame()

Accessing the type of an object

Extract unique elements

Flatten list-like objects

Unsplit a list-like object

Update an object to its current class definition

Variance and Standard Deviation

Extract model weights

Which values in an object are considered TRUE?

What's the index of the first min or max value in an object?

Cross tabulation