openmedical/registry
← registry

scMultiBench

imported

software/scmultibench

Multi-task benchmarking of single-cell multimodal omics integration methods

Machine-generated from the listed sources and not yet reviewed by a human.

scMultiBench project image
GitHub preview card for PYangLab/scMultiBench. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
benchmark · bioinformatics · multimodal-omics · single-cell
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • SnapCCESSmultimodal-omics · single-cell

    Ensemble deep learning of embeddings for clustering multimodal single-cell omics data

  • PertEvalbenchmark · single-cell

    Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.

  • dancebenchmark · bioinformatics

    DANCE: a deep learning library and benchmark platform for single-cell analysis

  • GENEBbenchmark · bioinformatics

    GENEB: ICML 2026 benchmark for genomic foundation models across 100 tasks and 13 functional categories.

  • NanoVarBenchbenchmark · bioinformatics

    Evaluating Nanopore-based bacterial variant calling

  • seurigiotto-benchmark-frameworkbenchmark · bioinformatics

    Optimized pipelines for Spatial Transcriptomics (ST) data analysis using Seurat & Giotto, designed for reproducible benchmarking and biological insight.

sources
  1. api.github.com/repos/PYangLab/scMultiBench
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-06-08, 26 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/58.json→ .entries["scmultibench"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.