randomly
importedsoftware/randomly
A Library for Denoising Single-Cell Data with Random Matrix Theory
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- RabadanLab
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/RabadanLab/randomly
- Documentation
- unknown
- Tags
- data-analysis · denoising · dropout · random-matrix-theory · single-cell · single-cell-analysis · single-cell-omics · single-cell-rna-seq
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- COSGsingle-cell · single-cell-analysis · single-cell-rna-seq
Accurate and fast cell marker gene identification with COSG
- too-many-cellssingle-cell · single-cell-analysis · single-cell-rna-seq
Cluster single cells and analyze cell clade relationships with colorful visualizations.
- pixelatorsingle-cell · single-cell-omics
A command-line tool and library to process and analyze sequencing data from Molecular Pixelation (MPX) and Proximity Network (PNA) assays.
- scarfsingle-cell · single-cell-omics
Memory-efficient single-cell analysis in Python. Stream RNA, ATAC, CITE-seq and multi-omics from local or remote Zarr stores, from laptop to atlas scale, with reusable fingerprinted results.
- SLATsingle-cell · single-cell-analysis
Spatial-Linked Alignment Tool
- dbMAPdenoising · single-cell
Deprecated in favour of TopoMetry: https://github.com/davisidarta/topometry
- api.github.com/repos/RabadanLab/randomlyretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-08-16, 39 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/9.json→ .entries["randomly"]
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