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        <datestamp>2026-09-22T01:20:42Z</datestamp>
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          <dc:title>Single Cell Data for Clustering and Pseudotime Goodness-of-Fit Evaluation</dc:title>
          <dc:creator>Kris Sankaran (15347602)</dc:creator>
          <dc:subject>Genomics</dc:subject>
          <dc:subject>Computational statistics</dc:subject>
          <dc:subject>single-cell</dc:subject>
          <dc:subject>clustering</dc:subject>
          <dc:subject>pseudotime</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;The zhengmix4 dataset is from,&lt;/p&gt;&lt;p dir="ltr"&gt;https://www.nature.com/articles/ncomms14049&lt;/p&gt;&lt;p dir="ltr"&gt;and includes 10X scRNA-seq readouts from human PBMCs. It can be used to evaluate clustering methods. It contains contains 3555 cells with 1556 genes.&lt;/p&gt;&lt;p dir="ltr"&gt;The pseuodtime_example dataset is a synthetic dataset from dyngen.&lt;/p&gt;&lt;p dir="ltr"&gt;https://www.nature.com/articles/s41467-021-24152-2&lt;/p&gt;&lt;p dir="ltr"&gt;It is simulated along a linear trajectory The dataset contains 500 cells and 155 genes, and its ground-truth pseudotime values are saved in the &lt;code&gt;pseudotime&lt;/code&gt; column of the &lt;code&gt;anndata.obs&lt;/code&gt; dataframe.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-22T01:20:42Z</dc:date>
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