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Predictive computational phenotyping and biomarker discovery using reference-free genome comparisons
BACKGROUND: The identification of genomic biomarkers is a key step towards improving diagnostic tests and therapies. We present a reference-free method for this task that relies on a k-mer representation of genomes and a machine learning algorithm that produces intelligible models. The method is com...
Tallennettuna:
| Julkaisussa: | BMC Genomics |
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| Päätekijät: | , , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2016
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5037627/ https://ncbi.nlm.nih.gov/pubmed/27671088 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-016-2889-6 |
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