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Statistical Comparison Framework and Visualization Scheme for Ranking-Based Algorithms in High-Throughput Genome-Wide Studies
As a first step in analyzing high-throughput data in genome-wide studies, several algorithms are available to identify and prioritize candidates lists for downstream fine-mapping. The prioritized candidates could be differentially expressed genes, aberrations in comparative genomics hybridization st...
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| Huvudupphovsmän: | , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Mary Ann Liebert, Inc.
2009
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3148127/ https://ncbi.nlm.nih.gov/pubmed/19361328 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1089/cmb.2008.0151 |
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