A5084054340- Bayesian Methods and Mixture Models
- Bioinformatics and Genomic Networks
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
- RNA Research and Splicing
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immune responses and vaccinations
- Single-cell and spatial transcriptomics
- MicroRNA in disease regulation
Johns Hopkins University
2021-2024
<ns3:p>Multi-view datasets are becoming increasingly prevalent. These consist of different modalities that provide complementary characterizations the same underlying system. They can include heterogeneous types information with complex relationships, varying degrees missingness, and assorted sample sizes, as is often case in multi-omic biological studies. Clustering multi-view data allows us to leverage infer systematic structure, but most existing approaches limited contexts which entities...
<ns3:p>Multi-view datasets are becoming increasingly prevalent. These consist of different modalities that provide complementary characterizations the same underlying system. They can include heterogeneous types information with complex relationships, varying degrees missingness, and assorted sample sizes, as is often case in multi-omic biological studies. Clustering multi-view data allows us to leverage infer systematic structure, but most existing approaches limited contexts which entities...
Abstract Single-cell RNA sequencing data contain patterns of correlation that are poorly captured by techniques rely on linear estimation or assumptions Gaussian behavior. We apply random forest regression to scRNAseq from mouse brains, which identifies the co-regulation genes within specific cellular contexts. By analyzing estimators forest, we identify several novel candidate gene regulatory networks and compare these in aged young mice. demonstrate cell populations have cell-type...