@@ -7,7 +7,7 @@
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-<p align="center"><a href="https://doi.org/10.5281/zenodo.1141538431"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.1141538431.svg" alt="DOI"></a></p>
+<p align="center"><a href="https://doi.org/10.5281/zenodo.23197029"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.23197029.svg" alt="DOI"></a></p>
 
 **RecurSieve** is an iterative gene selection algorithm that identifies discriminative genes between two biological groups in single-cell datasets. It uses an ensemble learning approach with a blend of random forest classifiers and gaussian mixture models to progressively select genes that best separate the groups, collapsing selected genes into a lower dimensional representational axis at each iteration.