Update references.bib

docs/references.bib

@@ -1,17 +1,7 @@
-@article{Wolf2018,
-  author   = {Wolf, F. Alexander
-              and Angerer, Philipp
-              and Theis, Fabian J.},
-  title    = {SCANPY: large-scale single-cell gene expression data analysis},
-  journal  = {Genome Biology},
-  year     = {2018},
-  month    = {Feb},
-  day      = {06},
-  volume   = {19},
-  number   = {1},
-  pages    = {15},
-  abstract = {Scanpy is a scalable toolkit for analyzing single-cell gene expression data. It includes methods for preprocessing, visualization, clustering, pseudotime and trajectory inference, differential expression testing, and simulation of gene regulatory networks. Its Python-based implementation efficiently deals with data sets of more than one million cells (https://github.com/theislab/Scanpy). Along with Scanpy, we present AnnData, a generic class for handling annotated data matrices (https://github.com/theislab/anndata).},
-  issn     = {1474-760X},
-  doi      = {10.1186/s13059-017-1382-0},
-  url      = {https://doi.org/10.1186/s13059-017-1382-0}
+@proceedings{rohbeckcellij,
+  author    = {Rohbeck, Martin and Qoku, Arber and Treis, Tim and Theis, Fabian J and Velten, Britta and Buettner, Florian and Stegle, Oliver},
+  title     = {Cellij: A Modular Factor Model Framework for Interpretable and Accelerated Multi-Omics Data Integration},
+  series    = {ICML Workshop on Computational Biology},
+  year      = {2023},
+  url       = {https://icml-compbio.github.io/2023/papers/WCBICML2023_paper124.pdf}
 }