Publications

(2022). Single-cell multi-omics profiling links dynamic DNA methylation to cell fate decisions during mouse early organogenesis. Genome Biology.
(2022). Inter-gastruloid heterogeneity revealed by single cell transcriptomics time course: implications for organoid based perturbation studies. bioRxiv.
(2022). Identifying temporal and spatial patterns of variation from multimodal data using MEFISTO. Nature Methods.
(2022). Decoding gene regulation in the mouse embryo using single-cell multi-omics. bioRxiv.
(2021). scMET: Bayesian modeling of DNA methylation heterogeneity at single-cell resolution. Genome Biology.
(2021). Integrative Transkingdom Analysis of the Gut Microbiome in Antibiotic Perturbation and Critical Illness. mSystems.
(2020). MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data. Genome Biology.
(2019). Multi-omics profiling of mouse gastrulation at single-cell resolution. Nature.
(2018). scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells. Nature Communications.
(2018). Multi-Omics Factor Analysis-a framework for unsupervised integration of multi-omics data sets. Mol Syst Biol.