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          <dc:title>Data of DDCt Interval Estimation Methods Comparision</dc:title>
          <dc:creator>Muyu Han (21338601)</dc:creator>
          <dc:creator>Pengyu Chang (14579115)</dc:creator>
          <dc:subject>Biological mathematics</dc:subject>
          <dc:subject>Biostatistics</dc:subject>
          <dc:subject>Genetics not elsewhere classified</dc:subject>
          <dc:subject>real-time PCR (qPCR)</dc:subject>
          <dc:subject>bootstrap</dc:subject>
          <dc:subject>Monte Carlo simulation</dc:subject>
          <dc:subject>interval estimation procedure</dc:subject>
          <dc:subject>robust estimation</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;The dataset consists of nine CSV files. The file names indicate the article content and figures to which each dataset corresponds. Except for the schematic diagram, the other figures in the manuscript are visualizations of the corresponding datasets.&lt;/p&gt;&lt;p dir="ltr"&gt;Two mouse brain-related datasets are real experimental data originally from Crawford et al(https://doi.org/10.6084/M9.FIGSHARE.14135660.V2.), the other datasets were obtained from statistical simulation experiments performed using R and Python. The row and column names of the datasets describe the corresponding data information. Datasets obtained through statistical simulation inevitably contain Monte Carlo error, and some asymptotic methods may also have corresponding bias.&lt;/p&gt;&lt;p dir="ltr"&gt;Please read the datasets in conjunction with the article. The code used to generate these data and figures can be requested from the authors.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-29T05:05:45Z</dc:date>
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