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28 changes: 14 additions & 14 deletions README.md
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## *Methods*

- [Deep generative modeling for single-cell transcriptomics](https://doi.org/10.1038/s41592-018-0229-2)(Nov/2018)
- [Jointly defining cell types from multiple single-cell datasets using LIGER](https://doi.org/10.1038/s41596-020-0391-8)(June/2019)
- [scAlign: a tool for alignment, integration, and rare cell identification from scRNA-seq data](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1766-4)(Aug/2019)
- [Fast, sensitive and accurate integration of single-cell data with Harmony](https://www.nature.com/articles/s41592-019-0619-0#Abs1)(Nov/2019)
- [BBKNN: fast batch alignment of single cell transcriptomes](https://academic.oup.com/bioinformatics/article/36/3/964/5545955)(Feb/2021)
- [Joint probabilistic modeling of single-cell multi-omic data with totalVI](https://doi.org/10.1038/s41592-020-01050-x)(Feb/2021)
- [scMM: Mixture-of-experts multimodal deep generative model for single-cell multiomics data analysis](https://doi.org/10.1101/2021.02.18.431907)(Mar/2021)
- [BABEL enables cross-modality translation between multiomic profiles at single-cell resolution](https://www.pnas.org/content/118/15/e2023070118)(April/2021)
- [Iterative single-cell multi-omic integration using online learning](https://doi.org/10.1038/s41587-021-00867-x)(Apr/2021)
- [Deep generative model embedding of single-cell RNA-Seq profiles on hyperspheres and hyperbolic spaces](https://doi.org/10.1038/s41467-021-22851-4)(May/2021)
- [Schema: metric learning enables interpretable synthesis of heterogeneous single-cell modalities](https://doi.org/10.1186/s13059-021-02313-2)(May/2021)
- [Integrated analysis of multimodal single-cell data](https://www.cell.com/cell/fulltext/S0092-8674(21)00583-3?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0092867421005833%3Fshowall%3Dtrue#secsectitle0080)(May/2021)
- [Cobolt: Joint analysis of multimodal single-cell sequencing data](https://doi.org/10.1101/2021.04.03.438329)(Jul/2021)
- [ACE: Explaining cluster from an adversarial perspective](https://doi.org/10.1101/2021.02.08.428881)(Jul/2021)
- [Deep generative modeling for single-cell transcriptomics](https://doi.org/10.1038/s41592-018-0229-2) (Nov/2018)
- [Jointly defining cell types from multiple single-cell datasets using LIGER](https://doi.org/10.1038/s41596-020-0391-8) (June/2019)
- [scAlign: a tool for alignment, integration, and rare cell identification from scRNA-seq data](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1766-4) (Aug/2019)
- [Fast, sensitive and accurate integration of single-cell data with Harmony](https://www.nature.com/articles/s41592-019-0619-0#Abs1) (Nov/2019)
- [BBKNN: fast batch alignment of single cell transcriptomes](https://academic.oup.com/bioinformatics/article/36/3/964/5545955) (Feb/2021)
- [Joint probabilistic modeling of single-cell multi-omic data with totalVI](https://doi.org/10.1038/s41592-020-01050-x) (Feb/2021)
- [scMM: Mixture-of-experts multimodal deep generative model for single-cell multiomics data analysis](https://doi.org/10.1101/2021.02.18.431907) (Mar/2021)
- [BABEL enables cross-modality translation between multiomic profiles at single-cell resolution](https://www.pnas.org/content/118/15/e2023070118) (April/2021)
- [Iterative single-cell multi-omic integration using online learning](https://doi.org/10.1038/s41587-021-00867-x) (Apr/2021)
- [Deep generative model embedding of single-cell RNA-Seq profiles on hyperspheres and hyperbolic spaces](https://doi.org/10.1038/s41467-021-22851-4) (May/2021)
- [Schema: metric learning enables interpretable synthesis of heterogeneous single-cell modalities](https://doi.org/10.1186/s13059-021-02313-2) (May/2021)
- [Integrated analysis of multimodal single-cell data](https://www.cell.com/cell/fulltext/S0092-8674(21)00583-3?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0092867421005833%3Fshowall%3Dtrue#secsectitle0080) (May/2021)
- [Cobolt: Joint analysis of multimodal single-cell sequencing data](https://doi.org/10.1101/2021.04.03.438329) (Jul/2021)
- [ACE: Explaining cluster from an adversarial perspective](https://doi.org/10.1101/2021.02.08.428881) (Jul/2021)
- [From Clustering to Cluster Explanations via Neural Networks](https://arxiv.org/pdf/1906.07633.pdf)
- ENVI paper(keep focused)

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