Code and data archive for Nettle et al. 'Consequences of measurement error in qPCR telomere data: A simulation study'

Dataset OPEN
Nettle, Daniel;
(2018)
  • Publisher: Zenodo
  • Identifiers: doi: 10.5281/zenodo.1994387
  • Subject: Molecular Biology | Biotechnology | copy gene abundances | Plant Biology | parameter values | TS ratios | Genetics | Evolutionary Biology | simulation functions | Pharmacology | telomere lengths | Science Policy | Ideal Cq values | Inorganic Chemistry | Neuroscience | Microbiology | Physiology | simulation parameter values | Computational Biology | measurement error | Cell Biology | log 2 | intra-class correlation coefficient | Biochemistry | qPCR telomere data | Cancer | dataset | return
    • FOR: 110309 Infectious Diseases | 111714 Mental Health | 60506 Virology | 39999 Chemical Sciences not elsewhere classified

<p>Code and data for&nbsp;Nettle et al. &#39;Consequences of measurement error in qPCR telomere data: A simulation study&#39;</p> <p>Main simulation functions are contained in the script &lsquo;simulation.functions.r&rsquo;. When called, these functions (listed belo... View more
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