DnaClient

class alphagenome.models.v2.dna_client.DnaClient(*, channel, model_version=None, metadata=())

Client for interacting with a DNA model server.

channel

gRPC channel to the DNA model server.

metadata

Metadata to send with each request.

model_version

Optional model version to use for the DNA model server. If none provided, the default model version will be used.

Methods

encode_cells(cells, *[, progress_bar, ...])	Encode single-cell count profiles into AlphaGenome 2 latent embeddings.
observed_metadata([organism])	Get the metadata for tracks observed by the model for a given organism.
predict_interval(interval, *[, organism, ...])	Generate predictions for a given DNA interval.
predict_interval_gradients(gene_id, *[, ...])	Generate input gradients of a gene's predicted expression.
predict_interval_gradients_batch(gene_ids, *)	Generate input gradients for a batch of genes and/or conditions.
predict_intervals(intervals[, conditions, ...])	Generate predictions for a sequence of DNA intervals.
predict_sequence(sequence, *[, organism, ...])	Generate predictions for a given DNA sequence.
predict_sequences(sequences[, conditions, ...])	Generate predictions for a batch of DNA sequences.
predict_variant(interval, variant, *[, ...])	Generate predictions for a given DNA variant.
predict_variants(intervals, variants[, ...])	Generate predictions for a batch of DNA variants.
score_interval(interval[, condition, ...])	Generate interval scores for a single given interval.
score_intervals(intervals[, conditions, ...])	Generate interval scores for a sequence of intervals.
score_ism_variants(interval, ism_interval[, ...])	Generate in silico mutagenesis (ISM) variant scores for a given interval.
score_variant(interval, variant[, ...])	Generate variant scores for a single given DNA variant.
score_variants(intervals, variants[, ...])	Generate variant scores for a sequence of variants.
supported_conditions([organism])	List reference conditions with the imputation mode of each output type.