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开发机构 Broad Institute / Harvard Medical School (Raychaudhuri Lab) →
Harmony is one of the most widely used algorithms for integrating single-cell datasets, iteratively removing technical batch differences while preserving subtle biological cell states.
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Harmony is one of the most widely used algorithms for integrating single-cell datasets, iteratively removing technical batch differences while preserving subtle biological cell states.
信息已比对权威文献或官方白皮书；非实验性跑分。 权威出处 · 最后核对: 20/09/2026, 11:10:15 UTC
Use this citation format when referencing Harmony in scientific publications and benchmark papers.
@software{harmony_2026,
title = {{Harmony}},
author = {{Broad Institute / Harvard Medical School (Raychaudhuri Lab)}},
year = {2026},
url = {https://github.com/immunogenomics/harmony},
note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}Live scientific citations queried from Europe PMC and PubMed for Harmony.
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.
Harmony Scientific Architecture · Credit: Broad Institute / Harvard Medical School (Raychaudhuri Lab) · Open original ↗
Research and editorial use Source & attribution ↗ License ↗
同一科学领域的同类算法与工具。
Classical/statistical scientific method · Confirm distribution and exact release
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暂无与此工具关联的已验证学术动态。
浏览全部生物AI动态 →Available on CRAN, PyPI, and GitHub
费用根据官方最近一次公布的说明整理。请在官方网站确认最新报价与学术折扣。
Feedback from researchers and computational biologists evaluating Harmony.
No peer reviews submitted yet for Harmony.
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