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Examples of single-cell genomic analysis accelerated with RAPIDS

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Because the cusparse API uses 32-bit integers to specify the size of the underlying workspaces in GPU memory, and because the Scipy/Cupy sparse APIs use them to specify the size...

enhancement

Could I ask if you might have any tips on how to overcome this error? I'm running your 1M cell code, but I tried it on my own set of...

Hi Team, I'm getting CUDA memory error when I call cudf.Series method from the [hlca_lung_gpu_analysis-visualization notebook](https://github.com/clara-parabricks/rapids-single-cell-examples/blob/master/notebooks/hlca_lung_gpu_analysis-visualization.ipynb). **Error Log:** ```bash --------------------------------------------------------------------------- ArrowTypeError Traceback (most recent call last) ~/anaconda3/envs/rapidgenomics/lib/python3.7/site-packages/cudf/utils/utils.py in pyarrow_buffer_to_cudf_buffer(arrow_buf, mask_size)...

Is there anyone to compare the consistency of results generated by scanpy pipeline and RAPIDS implementation? Such as the consistency of HVG genes?

Hey Nvidia Genomics Team, In the Multi GPU Notebook the AnnData object post PCA is created with the PCA in `.X`. Therefore when you later later perform the differential gene...

when I analysis 1 million cells collected by myself using multigpu, step of dask_sparse_arr.compute_chunk_sizes() is error. Error information is below: cuml/linear_model/linear_regression.pyx in cuml.linear_model.linear_regression.LinearRegression.fit() `RuntimeError: exception occured! file=_deps/raft-src/cpp/include/raft/linalg/eig.cuh line=144: eig.cuh: eigensolver...

hi! i am trying to use the scanpy rapids functions to run multiple parallel operations on a server. the problem i am running into is that after running any scanpy...

Hi, when I followd the jupyter notebook and tried use rapids_scanpy_funcs.highly_variable_genes, I came across the error: --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) File :1, in File ~/autodl-tmp/rapids_scanpy_funcs.py:753, in highly_variable_genes(sparse_gpu_array,...

bug

Sometimes I find the results from rapids KNN and UMAP very weird. The majoy data points are in center and super small (see below). At the beginning I thought it...

hardware: 24G memory GPU 10M dataset: 30min for KNN, 30min for UMAP, 3min for Leiden 70M dataset: not sure if it is feasible due to memory limit - 15h for...