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NVIDIA
NVIDIA
DNABERT
Model
NVIDIA
NVIDIA
DNABERT

DNABERT generates a dense representation of a genome sequence by identifying contextually similar sequences in the human genome.

This model is backed by NVIDIA's Plus Plus (++) Promise
to learn more about the quality of the datasets used to train this model.
FieldResponse
Participation considerations from adversely impacted groups (protected classes) in model design and testing:Gender
Measures taken to mitigate against unwanted bias:Chromosome 21 and 22 were held out to assess intra-chromosomal bias captured by the model. No training was performed on chromosomes 21 and 22 to preserve a completely independent sequence for testing. Additionally, training was only performed on autosomes as a gender proxy (no X/Y chromosomes) to mitigate bias introduced by sex-specific DNA sequences.