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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 | — |
| Subcategory | Single-cell Analysis | Conventional or Statistical Baselines | Conventional or Statistical Baselines | — |
| Company | Theis laboratory / scVelo contributors | Research / method authors | Research / method authors | — |
| Access mode | Public code / project terms | Confirm distribution and exact release | Confirm distribution and exact release | — |
| Licence conditions | Review the linked release, model weights, datasets and service terms separately | NOT_INDEPENDENTLY_AUDITED | NOT_INDEPENDENTLY_AUDITED | — |
| Compute requirements | Consult linked installation guidance; workload dependent | Version and data dependent | Version and data dependent | — |
| Biological application | ثبت‌نشده | ثبت‌نشده | ثبت‌نشده | — |
| Research workflow | ثبت‌نشده | ثبت‌نشده | ثبت‌نشده | — |
| Evidence level | Project or provider documentation; no local performance benchmark | OFFICIAL_DOCUMENTATION | PEER_REVIEWED_METHOD_OR_CONFERENCE | — |
| Commercial eligibility | Not independently confirmed | NOT_INDEPENDENTLY_AUDITED | NOT_INDEPENDENTLY_AUDITED | — |
| Price | See project terms; compute costs may apply | Verify access and licence | Verify access and licence | — |
| Availability ⓘ | See project access and maintenance status | Method paper or official documentation | Method paper or official documentation | — |
| Features | RNA velocity and cellular dynamics analysis, Input: Spliced and unspliced transcript measurements, Output: Velocity estimates, latent time and kinetic parameters | Azimuth (Seurat reference mapping) scientific method, Compatible single-cell expression matrix and named atlas reference, Anchor-based reference map and predicted cell labels | Baysor scientific method, Subcellular in-situ transcript positions and optional cell stain masks, Spatial transcript-informed cell boundaries | — |
| Entry type | Research software / model | Classical/statistical scientific method | Classical/statistical scientific method | — |
| AI role | Statistical and model-dependent machine learning | NON_AI_REFERENCE | NON_AI_STATISTICAL | — |
| Input data | Spliced and unspliced transcript measurements | Compatible single-cell expression matrix and named atlas reference | Subcellular in-situ transcript positions and optional cell stain masks | — |
| Output data | Velocity estimates, latent time and kinetic parameters | Anchor-based reference map and predicted cell labels | Spatial transcript-informed cell boundaries | — |
| Validation | Evaluate on representative data; no clinical suitability established | Published method scope; no independent BioAtlas execution or benchmark | Published method scope; no independent BioAtlas execution or benchmark | — |
| Type | ثبت‌نشده | ثبت‌نشده | ثبت‌نشده | — |
| Intended use | Biological and pharmaceutical research | ثبت‌نشده | ثبت‌نشده | — |
| Compatibility | ثبت‌نشده | ثبت‌نشده | ثبت‌نشده | — |
| Limitations | Dynamical assumptions and data quality affect direction estimates; model choices include statistical and deep-learning methods. | ثبت‌نشده | ثبت‌نشده | — |