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مقایسه شاخ‌به‌شاخ مدل‌های زیستی، موتورهای داکینگ و پایپ‌لاین‌های محاسباتی. فیلتر بر اساس مدل دسترسی، مصرف پردازشی و دسته‌بندی جهت اخذ تصمیم دقیق در کمتر از یک دقیقه.
| مشخصه | ＋ افزودن ابزار | ||||
|---|---|---|---|---|---|
| Category | Single-cell, Spatial & Cytometry | Single-cell, Spatial & Cytometry | Single-cell, Spatial & Cytometry | Single-cell, Spatial & Cytometry | — |
| Subcategory | Single-cell Models | Single-cell Analysis | Single-cell Analysis | Single-cell Models | — |
| Company | scverse / scvi-tools contributors | scverse / Scanpy contributors | Satija Lab | Bo Wang Lab | — |
| Access mode | Public code | Public code | Public code | Public research code | — |
| Licence conditions | Check selected package and model terms | Check the selected release, model and dependencies | Check the selected release, model and dependencies | Code and checkpoint terms must both be checked | — |
| Compute requirements | Version and workload dependent; not independently benchmarked | Dataset and implementation dependent; no configuration benchmarked | Dataset and implementation dependent; no configuration benchmarked | Version and workload dependent; not independently benchmarked | — |
| Biological application | ثبت‌نشده | ثبت‌نشده | ثبت‌نشده | ثبت‌نشده | — |
| Research workflow | ثبت‌نشده | ثبت‌نشده | ثبت‌نشده | ثبت‌نشده | — |
| Evidence level | Project documentation; no local benchmark | Project documentation; not a local benchmark | Project documentation; not a local benchmark | Project documentation; no local benchmark | — |
| Commercial eligibility | Confirm exact code, weights and data terms | Not independently confirmed | Not independently confirmed | Confirm exact code, weights and data terms | — |
| Price | See access and licence terms | See project licence and access terms | See project licence and access terms | See access and licence terms | — |
| Availability ⓘ | Public code | Public research software | Public research software | Public research code | — |
| Features | Probabilistic models for single-cell analysis, Documented research workflow | Python toolkit for single-cell analysis, Documented research workflow | R toolkit for single-cell genomics, Documented research workflow | Foundation models for single-cell omics, Documented research workflow | — |
| Entry type | Research software / model | Supporting software | Supporting software | Research software / model | — |
| AI role | Machine-learning software | Supporting analysis toolkit | Supporting analysis toolkit | Machine-learning software | — |
| Input data | Single-cell omics data | Single-cell expression matrices | Expression and multimodal single-cell measurements | Single-cell expression data | — |
| Output data | Model-dependent embeddings and statistical analysis | Preprocessed data, embeddings and clusters | Integrated data, clusters and analysis results | Cell representations and task-specific predictions | — |
| Validation | Evaluate on representative held-out data | ثبت‌نشده | ثبت‌نشده | Evaluate on representative held-out data | — |
| Type | ثبت‌نشده | ثبت‌نشده | ثبت‌نشده | ثبت‌نشده | — |
| Intended use | ثبت‌نشده | ثبت‌نشده | ثبت‌نشده | ثبت‌نشده | — |
| Compatibility | ثبت‌نشده | ثبت‌نشده | ثبت‌نشده | ثبت‌نشده | — |
| Limitations | ثبت‌نشده | Exploratory embeddings are not quantitative biological distances. | Validate integration and annotation using biological controls. | ثبت‌نشده | — |