skbio.embedding.ProteinVector#
- class skbio.embedding.ProteinVector(vector, sequence: str, **kwargs)[source]#
Vector representation for a protein sequence.
- Parameters:
- vector1D or 2D array_like
The vector representation of the protein sequence. Typically a 1D array. Can also be a 2D array with only one row.
- sequencestr, Sequence, or 1D ndarray
Characters representing the protein sequence itself.
See also
Examples
>>> from skbio.embedding import ProteinVector >>> import numpy as np >>> vector = np.random.rand(10) >>> sequence = "ACDEFGHIKL" >>> ProteinVector(vector, sequence) ProteinVector -------------------------- Stats: length: 10 vector dimension: 10 has gaps: False has degenerates: False has definites: True has stops: False -------------------------- 0 ACDEFGHIKL
Attributes
Attributes (inherited)
The embedding tensor.
IDs corresponding to each row of the embedding.
String representation of the underlying sequence.
Vector representation for the biological entity.
Methods
read
(file[, format])Create a new
ProteinVector
instance from a file.write
(file[, format])Write an instance of
ProteinVector
to a file.Methods (inherited)
bytes
()Bytes representation of string encoding.
Special methods (inherited)
__eq__
(value, /)Return self==value.
__ge__
(value, /)Return self>=value.
__getstate__
(/)Helper for pickle.
__gt__
(value, /)Return self>value.
__hash__
(/)Return hash(self).
__le__
(value, /)Return self<=value.
__lt__
(value, /)Return self<value.
__ne__
(value, /)Return self!=value.
__str__
()Return str(self).
Details
- default_write_format = 'embed'#