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Density distribution of gene expression profiles and evaluation of using maximal information coefficient to identify differentially expressed genes
The hypothesis of data probability density distributions has many effects on the design of a new statistical method. Based on the analysis of a group of real gene expression profiles, this study reveal that the primary density distributions of the real profiles are normal/log-normal and t distributi...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6636747/ https://www.ncbi.nlm.nih.gov/pubmed/31314810 http://dx.doi.org/10.1371/journal.pone.0219551 |