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توسعه توسط FlowSOM contributors →
Machine-learning analysis of flow or mass cytometry using self-organizing maps. Clusters require biological annotation and do not replace instrument or panel quality control.
گزارش اطلاعات نادرست یا ادعای مالکیت
Machine-learning analysis of flow or mass cytometry using self-organizing maps. Clusters require biological annotation and do not replace instrument or panel quality control.
اطلاعات با مراجع رسمی تطبیق داده شده است؛ آزمایشگاهی نیست. منبع استناد · آخرین بازبینی: 14/09/2026, 18:31:56 UTC
Use this citation format when referencing FlowSOM in scientific publications and benchmark papers.
@software{flowsom_2026,
title = {{FlowSOM}},
author = {{FlowSOM contributors}},
year = {2026},
url = {https://bioconductor.org/packages/FlowSOM/},
note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}Live scientific citations queried from Europe PMC and PubMed for FlowSOM.
Missing values mean the catalog has no recorded information. They do not mean a feature is absent.
No software–hardware integration has been verified for this entry yet. Explore documented research workflows.
FlowSOM Scientific Architecture · Credit: FlowSOM contributors · Open original ↗
Research and editorial use Source & attribution ↗ License ↗
ابزارهای مشابه در همین حوزه علمی.
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Research / method authors
Classical/statistical scientific method · Confirm distribution and exact release
BBKNN — single-cell-integration
Research / method authors
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CellRank — cell-fate-mapping
Research / method authors
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قیمت‌ها بر اساس آخرین رصد رسمی مستند شده‌اند. برای اطلاع از شرایط جاری به وبگاه رسمی مراجعه فرمایید.
Feedback from researchers and computational biologists evaluating FlowSOM.
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