ikarus
importedsoftware/ikarus
Identifying tumor cells at the single-cell level using machine learning
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
- BIMSBbioinfo
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/BIMSBbioinfo/ikarus
- Documentation
- unknown
- Tags
- bioinformatics · cancer-genomics · machine-learning · single-cell
- 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.
- clonealigncancer-genomics · single-cell
Bayesian inference of clone-specific gene expression estimates by integrating single-cell RNA-seq and single-cell DNA-seq data
- CANCER_VAR_CALLbioinformatics · cancer-genomics
End-to-end somatic and germline variant calling pipeline using BWA, GATK HaplotypeCaller, VEP and ANNOVAR for tumor NGS analysis
- maftoolsbioinformatics · cancer-genomics
Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.
- pyGenobioinformatics · cancer-genomics
Personalized Genomics and Proteomics. Main diet: Ensembl, side dishes: SNPs
- somalierbioinformatics · cancer-genomics
fast sample-swap and relatedness checks on BAMs/CRAMs/VCFs/GVCFs... "like damn that is one smart wine guy"
- medical-research-skillsbioinformatics · cancer-genomics
Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing.
- api.github.com/repos/BIMSBbioinfo/ikarusretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-11-10, 51 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/34.json→ .entries["ikarus"]
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