diff --git a/docs/citations.md b/docs/citations.md
index bfa974d..1047239 100644
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@@ -12,9 +12,9 @@ Thanks for citing us! If you use BEDbase, geniml, or their components in your re
|---------------|-----------------|
| `region2vec` embeddings | Gharavi et al. (2021) *Bioinformatics* |
| `bedspace` search and embeddings | Gharavi et al. (2024) *Bioengineering* |
-| `scEmbed` single-cell embedding framework | LeRoy et al. (2023) *bioRxiv* |
-| `geniml` region set evaluations | Zheng et al. (2023) *bioRxiv* |
-| `geniml hmm` module | Rymuza et al. (2023) *bioRxiv* |
+| `scEmbed` single-cell embedding framework | LeRoy et al. (2024) *NAR Genomics and Bioinformatics* |
+| `geniml` region set evaluations | Zheng et al. (2024) *NAR Genomics and Bioinformatics* |
+| `geniml hmm` module | Rymuza et al. (2024) *Nucleic Acis Research* |
| `bedbase` database | Unpublished |
@@ -22,15 +22,17 @@ Thanks for citing us! If you use BEDbase, geniml, or their components in your re
Gharavi et al. (2024). Joint representation learning for retrieval and annotation of genomic interval sets
Bioengineering. DOI: 10.3390/bioengineering11030263
-Zheng et al. (2023). Methods for evaluating unsupervised vector representations of genomic regions
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bioRxiv. DOI: 10.1101/2023.08.28.555137
+Zheng et al. (2024). Methods for evaluating unsupervised vector representations of genomic regions
+
Nucleic Acids Research Genomics and Bioinformatics. DOI: 10.1093/nargab/lqae086
Xue et al. (2023). Opportunities and challenges in sharing and reusing genomic interval data
Frontiers in Genetics. DOI: 10.3389/fgene.2023.1155809
-Rymuza et al. (2023). Methods for constructing and evaluating consensus genomic interval sets
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bioRxiv. DOI: 10.1101/2023.08.03.551899
-LeRoy et al. (2023). Fast clustering and cell-type annotation of scATACdata with pre-trained embeddings
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bioRxiv. DOI: 10.1101/2023.08.01.551452
+Rymuza et al. (2024). Methods for constructing and evaluating consensus genomic interval sets
+
Nucleic Acids Research. DOI: 10.1093/nar/gkae685
+LeRoy et al. (2024). Fast clustering and cell-type annotation of scATACdata with pre-trained embeddings
+
Nucleic Acids Research Genomics and Bioinformatics. DOI: 10.1093/nargab/lqae073
Gu et al. (2021). Bedshift: perturbation of genomic interval sets
Genome Biology. DOI: 10.1186/s13059-021-02440-w
Gharavi et al. (2021). Embeddings of genomic region sets capture rich biological associations in low dimensions
-
Bioinformatics. DOI: 10.1093/bioinformatics/btab439
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Bioinformatics. DOI: 10.1093/bioinformatics/btab439
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+