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Examples of single-cell genomic analysis accelerated with RAPIDS

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Code I used: `sc.tl.umap(ad,min_dist=0.1,method='rapids',neighbors_key='neighbors')` AWS G5 4xlarge 1 GPU 24G GPU memory. During the process the GPU usage is 4G/24G but at the end, it crashed saying out of memory....

the recent upgrade cuml has moved cuml.common.memory_utils to cuml.internals.memory_utils

Hello RAPIDS, Thanks for developing this amazing package. I met 'ImportError: /usr/lib/x86_64-linux-gnu/libcuda.so.1: file too short' when importing packages. ```python import scanpy as sc import anndata import time import os, wget...

In [`/notebooks/hlca_lung_gpu_analysis.ipynb`](https://github.com/NVIDIA-Genomics-Research/rapids-single-cell-examples/blob/master/notebooks/hlca_lung_gpu_analysis.ipynb), when run cell 19 ``` %%time hvg = rapids_scanpy_funcs.highly_variable_genes(sparse_gpu_array, genes, n_top_genes=5000) ``` it raises error: ``` --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) in /workspace/notebooks/rapids_scanpy_funcs.py in highly_variable_genes(sparse_gpu_array, genes,...

Hi! I'm trying to run this notebook https://github.com/NVIDIA-Genomics-Research/rapids-single-cell-examples/blob/master/notebooks/5k_pbmc_coverage_gpu.ipynb within the container https://hub.docker.com/r/claraparabricks/single-cell-examples_rapids_cuda11.0 on A100 GPU. Everything works until executing this line ``` atacworks_results = coverage.atacworks_denoise(noisy_coverage, model, gpu, interval_size) ``` which...

Hi! The jupyter notebooks in the repo here https://github.com/NVIDIA-Genomics-Research/rapids-single-cell-examples/tree/master/notebooks are not exactly the same as the ones within the container https://hub.docker.com/r/claraparabricks/single-cell-examples_rapids_cuda11.0 (which has more comments). Which version is better? Thanks!

I am running the Example 4: Droplet Single-cell ATAC-seq of 60K Bone Marrow Cells demo data in a GPU cluster in Google Cloud. All the codes ran perfectly well around...

Dear authors, Thank you for share the valuable pipelines to use GPU in single cell genomics data analysis. When I go through the 1M_brain_gpu_analysis_multigpu pipeline you have provided, I meet...

when I filter cell with funcion read_with_filter function wieh dataset krasnow_hlca_10x.sparse.h5ad, no cell filtered with different parameters. But it worked normally when used function scanpy.pp.filter_cells

Hello @rilango @cjnolet @mlgill @raydouglass @pentschev, I am trying to run leiden clustering on ~40 M cells. During the run I see the GPU is idle in terms of power...