Cell Classes

Representation of immune system cells.

Cell

Represents a basic immune cell.

@dataclass(slots=True)
class Cell:
    vector: np.ndarray

Attributes

• vector (np.ndarray): A vector of cell features.

Methods

• __eq__(other): Check if two cells are equal based on their vectors.
• __array__(): Array interface to NumPy, allows the instance to be treated as a np.ndarray.
• __getitem__(item): Get elements from the feature vector using indexing.

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BCell

Represents a memory B-cell.

@dataclass(slots=True, eq=False)
class BCell(Cell):
    vector: np.ndarray

Methods

hyper_clonal_mutate(...)

def hyper_clonal_mutate(
    self,
    n: int,
    feature_type: FeatureType = "continuous-features",
    bounds: Optional[npt.NDArray[np.float64]] = None
) -> np.ndarray

Clones N features from a cell's features, generating a set of mutated vectors.

Parameters

• n (int): Number of clones to be generated from mutations of the original cell.
• feature_type (Literal["binary-features", "continuous-features", "ranged-features"]): Specifies the type of feature_type to use based on the nature of the input features
• bounds (Optional[npt.NDArray[np.float64]]): Array (n_features, 2) with min and max per dimension.

Returns

• npt.NDArray: An array containing N mutated vectors from the original cell.

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Antibody

Represent an antibody.

@dataclass(slots=True)
class Antibody(Cell):
    vector: np.ndarray
    affinity: float

Attributes

• vector (npt.NDArray): A vector of cell features.
• affinity (float): Affinity value for the antibody.

Methods

• __lt__(other): Compare this cell with another Antibody cell based on affinity.
• __eq__(other): Check if this cell has the same affinity as another cell.

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Detector

Represents a non-self detector of the RNSA class.

@dataclass(slots=True)
class Detector:
    position: npt.NDArray[np.float64]
    radius: Optional[float] = None

Attributes

• position (npt.NDArray[np.float64]): Detector feature vector.
• radius (Optional[float]): Detector radius, used in the V-detector algorithm.