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genbio-ai/
IsoformExpression-Enformer-AIDO.RNA-1.6B-CDS-ESM2-150M-ConcatFusion-rna-isoform-expression-ckpt

Name: IsoformExpression-Enformer-AIDO.RNA-1.6B-CDS-ESM2-150M-ConcatFusion-rna-isoform-expression-ckpt
Availability: InStock

biology

genbio-ai/transcript_isoform_expression_prediction

EleutherAI/enformer-official-rough

finetune

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Tri-modal model for RNA isoform expression prediction

RNA isoform expression prediction

Input: dna_seq, rna_seq, protein_seq
Output: expression level in 30 tissues

Model architecture

Backbones:
- DNA: Enformer (fully finetuning)
- RNA: GB.RNA-1.6B-CDS (lora finetuning)
- Protein: ESM2-150M (lora finetuning)
Fusion method: concat fusion

Usage

Download model

python

from huggingface_hub import snapshot_download
from pathlib import Path

model_name = "genbio-ai/GB.MM-Enformer-RNA-1.6B-CDS-ESM2-150M-ConcatFusion-rna-isoform-expression-ckpt"
genbio_models_path = Path.home().joinpath('genbio_models', model_name)
genbio_models_path.mkdir(parents=True, exist_ok=True)
snapshot_download(repo_id=model_name, local_dir=genbio_models_path)

Evaluation script

Once you download the model, you can use the model in ModelGenertor using the following script:

bash

CONFIG_FILE=...     # put the config file path here
CKPT_PATH=...       # put the model checkpoint path here

mgen test --config $CONFIG_FILE \
    --data.batch_size 16 \
    --trainer.logger null \
    --model.strict_loading False \
    --model.reset_optimizer_states True \
    --ckpt_path $CKPT_PATH

genbio-ai/IsoformExpression-Enformer-AIDO.RNA-1.6B-CDS-ESM2-150M-ConcatFusion-rna-isoform-expression-ckpt

Tri-modal model for RNA isoform expression prediction

RNA isoform expression prediction

Model architecture

Usage

genbio-ai/
IsoformExpression-Enformer-AIDO.RNA-1.6B-CDS-ESM2-150M-ConcatFusion-rna-isoform-expression-ckpt