Add RISE paper

Author: Aaron Meyer

_bibliography/pubs.bib

@@ -1467,10 +1467,11 @@ @Article{	  Ramirez2024
   title		= {Integrative, high-resolution analysis of single cell gene expression across experimental
 		  conditions with PARAFAC2-RISE},
   keywords	= {scRNAseq, tensors, PARAFAC2, lupus, systems immunology, computational-example},
-  month		= {April},
+  month		= {May},
   preprint	= {https://www.biorxiv.org/content/10.1101/2024.07.29.605698v1},
-  doi		= {10.1101/2024.07.29.605698v1},
-  day		= 30,
+  url		= {https://www.sciencedirect.com/science/article/pii/S2405471225001279},
+  doi		= {10.1016/j.cels.2025.101294},
+  day		= 15,
   abstract	= {Effective exploration and analysis tools are vital for the extraction of insights from
 		  single-cell data. However, current techniques for modeling single-cell studies performed
 		  across experimental conditions (e.g. samples) require restrictive assumptions or do not
@@ -1485,7 +1486,7 @@ @Article{	  Ramirez2024
 		  theoretical grounding of RISE suggests a unified framework for many single-cell data
 		  modeling tasks, while providing an intuitive dimensionality reduction approach for
 		  multi-sample single-cell studies across biological contexts.},
-  journal	= {Cell Systems (accepted)}
+  journal	= {Cell Systems}
 }
 
 @Article{	  Movassaghi2024,