enformer-pytorch icon indicating copy to clipboard operation
enformer-pytorch copied to clipboard

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

Results 12 enformer-pytorch issues
Sort by recently updated
recently updated
newest added

Hello, can I ask how you find of the human pearson R is 0.625 for validation, and 0.65 for test? Couldn't find any information in the paper. Is there any...

I am trying to install the enformer package but seem to be getting the following error: ``` >>> import torch >>> from enformer_pytorch import Enformer Traceback (most recent call last):...

Hey, Is there a way of getting the models trained in each training set, as mentioned in the "Model training and evaluation" paragraph of the Enformer paper? Thanks!

Thanks for adopting the Enformer model to PyTorch. Recently, I've needed to extract sequence embeddings from Enformer. Do I have to use one-hot encoding as input, or can I directly...

Hi, since enformer can be used to predict gene expression values, I am looking for the index of model output to describe the relationship between genes and genome regions. Could...

I ran the `test_pretrained.py` script to calculate the correlation coefficient on a validation sample, and got `0.5963` as expected. However, when I inspected the target and predictions, the shapes were...

Hi, I'm now trying to fine-tune the pretrained model on my own ATAC-seq data using HeadAdapterWrapper. Due to device limitations and long training time, I set finetune_last_n_layers_only to 2, and...

Hello. Can you share the details of neural model training? Did you train it yourself? Did you collect data for training from basenji dataset files? I am unable to reproduce...

From the paper: > To better understand what sequence elements Enformer is utilizing when making predictions, we computed two different gene expression contribution scores — input gradients (gradient × input...

Hi! Thank you so much for providing this implementation and documentations. I have been looking for the pytorch implementation of enformer for a while. When I run the provided code...