scBasset
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calico
Sequence-based Modeling of single-cell ATAC-seq using Convolutional Neural Networks.
Hi, Could you please provide the evaluation codes that could reproduce the results in the paper? Thank you very much for your help.
Is the pbmc_multiome data processed in the same way? During training, I used the link in download_data to download the pbmc_multiome data and then processed it with data_preprocess.py. However, during...
model.compile(loss=loss_fn, optimizer=optimizer, metrics=[tf.keras.metrics.AUC(curve='ROC', multi_label=True), tf.keras.metrics.AUC(curve='PR', multi_label=True)]) I would like to ask if multi_label=True is used in the optimization of the model, which is equivalent to calculating AUC per cell and...
Hi, The [link](https://github.com/calico/scBasset/blob/main/link) as an example of how to create a Json file and instruct Basenji to train a scBasset model is missing. Could you please update the link.
Hi , I’m working with scBasset and wanted to ask how the ad_rna_annotate.h5ad file is generated. Could you briefly explain the main steps, including any preprocessing or annotations, and the...
Good Afternoon scBasset team, Thank you for developing and maintaining this package, I'm really excited to use scBasset for my single-cell multiome data! I run into errors while using `imputation_Y_normalize`...
