pylimma.EList

class pylimma.EList(data=None, /, **kwargs)

Bases: _LargeDataObject

Expression-list container (Python equivalent of R limma’s EList).

Required slot: E (2D numeric, genes x samples). Optional slots: weights, genes, targets, design, plus arbitrary extras.

Examples

>>> el = EList({"E": np.random.randn(100, 8), "design": np.eye(8)})
>>> el.shape
(100, 8)
>>> el[:10, :].shape
(10, 8)

__init__(data=None, /, **kwargs)

Methods

__init__([data])
clear()
copy()
dim()
fromkeys(iterable[, value])	Create a new dictionary with keys from iterable and values set to value.
get(key[, default])	Return the value for key if key is in the dictionary, else default.
head([n])
items()
keys()
pop(k[,d])	If the key is not found, return the default if given; otherwise, raise a KeyError.
popitem()	Remove and return a (key, value) pair as a 2-tuple.
setdefault(key[, default])	Insert key with a value of default if key is not in the dictionary.
tail([n])
update([E, ]**F)	If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
values()

Attributes

dimnames
ncol
nrow
shape