Large-Scale Clustering of cDNA-Fingerprinting Data
Clustering is one of the main mathematical challenges in large-scale gene expression analysis. We describe a clustering procedure based on a sequential k-means algorithm with additional refinements that is able to handle high-throughput data in the order of hundreds of thousands of data items measur...
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| 出版年: | Genome Res |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Cold Spring Harbor Laboratory Press
1999
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC310829/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/10568749/ https://ncbi.nlm.nih.govhttps://doi.org/10.1101/gr.9.11.1093 |
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