From 4cf6137a3bc140c7ce3e530026062670f43a847b Mon Sep 17 00:00:00 2001 From: Intron7 Date: Tue, 28 Jul 2026 18:05:35 +0200 Subject: [PATCH] adjust links for rsc Signed-off-by: Intron7 --- content/blog/2025-core-expansion.md | 4 ++-- content/blog/2026-rsc-goes-nanobind.md | 2 +- content/packages/_index.md | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/content/blog/2025-core-expansion.md b/content/blog/2025-core-expansion.md index 3683e330..e62a8954 100644 --- a/content/blog/2025-core-expansion.md +++ b/content/blog/2025-core-expansion.md @@ -8,7 +8,7 @@ draft = false # Four new core packages in scverse -We're happy to announce that four new packages have joined the scverse core ecosystem: [SnapATAC2](https://github.com/scverse/snapatac2), [rapids-singlecell](https://github.com/scverse/rapids_singlecell), [pertpy](https://github.com/scverse/pertpy), and [decoupler](https://github.com/scverse/decoupler). +We're happy to announce that four new packages have joined the scverse core ecosystem: [SnapATAC2](https://github.com/scverse/snapatac2), [rapids-singlecell](https://github.com/scverse/rapids-singlecell), [pertpy](https://github.com/scverse/pertpy), and [decoupler](https://github.com/scverse/decoupler). This broadens the scope of scverse beyond our so far supported modalities and brings in new functionality for epigenomics, perturbation screens, GPU acceleration, and functional inference. Single-cell analysis is evolving rapidly, with new experimental modalities and larger datasets becoming the norm. @@ -30,7 +30,7 @@ All outputs are stored in AnnData and integrate seamlessly with scanpy and other ## rapids-singlecell -[rapids-singlecell](https://github.com/scverse/rapids_singlecell) accelerates the full single-cell analysis pipeline through GPU acceleration with CuPy and NVIDIA RAPIDS. +[rapids-singlecell](https://github.com/scverse/rapids-singlecell) accelerates the full single-cell analysis pipeline through GPU acceleration with CuPy and NVIDIA RAPIDS. Core steps—including PCA, neighborhood graph construction, and clustering—are executed on GPU using cuML, cuGraph, and custom CUDA/CuPy kernels for peak performance. RSC integrates directly with AnnData and offers near drop-in replacements not only for scanpy, but also for selected functions from decoupler and squidpy. diff --git a/content/blog/2026-rsc-goes-nanobind.md b/content/blog/2026-rsc-goes-nanobind.md index 3719e449..8ffc4acf 100644 --- a/content/blog/2026-rsc-goes-nanobind.md +++ b/content/blog/2026-rsc-goes-nanobind.md @@ -203,7 +203,7 @@ Both energy distance and co-occurrence kernels gained multi-GPU support ([#545]( A big thank you to everyone who tested the pre-releases and helped surface issues before this release went out. -For questions and bug reports, visit the [GitHub issue tracker](https://github.com/scverse/rapids_singlecell/issues). +For questions and bug reports, visit the [GitHub issue tracker](https://github.com/scverse/rapids-singlecell/issues). --- diff --git a/content/packages/_index.md b/content/packages/_index.md index c699cf6d..cfb961d4 100644 --- a/content/packages/_index.md +++ b/content/packages/_index.md @@ -196,7 +196,7 @@ aliases = ["/projects/"] details = "rapids-singlecell is a GPU-accelerated single-cell analysis library that serves as a drop-in replacement for scanpy, squidpy, and decoupler." [[packages.links]] text = "GitHub" - url = "https://github.com/scverse/rapids_singlecell" + url = "https://github.com/scverse/rapids-singlecell" [[packages.links]] text = "Documentation and tutorials" url = "https://rapids-singlecell.readthedocs.io/en/latest/"