A5071889457- Single-cell and spatial transcriptomics
- Cancer Genomics and Diagnostics
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Cell Image Analysis Techniques
- Gene Regulatory Network Analysis
Delft University of Technology
2021-2023
Deep generative models, such as variational autoencoders (VAE), have gained increasing attention in computational biology due to their ability capture complex data manifolds which subsequently can be used achieve better performance downstream tasks, cancer type prediction or subtyping of cancer. However, these models are difficult train the large number hyperparameters that need tuned. To get a understanding importance different hyperparameters, we examined six VAE when trained on TCGA...
Abstract Motivation Single-cell multi-omics assays simultaneously measure different molecular features from the same cell. A key question is how to benefit complementary data available and perform cross-modal clustering of cells. Results We propose Single-Cell Multi-omics Clustering (scMoC), an approach identify cell clusters with comeasurements scRNA-seq scATAC-seq overcome high sparsity by using imputation strategy that exploits less-sparse Subsequently, scMoC identifies cells merging...
Abstract Deep generative models, such as variational autoencoders (VAE), have gained increasing attention in computational biology due to their ability capture complex data manifolds which subsequently can be used achieve better performance downstream tasks, cancer type prediction or subtyping of cancer. However, these models are difficult train the large number hyperparameters that need tuned. To get a understanding importance different hyperparameters, we examined six VAE when trained on...
Abstract Motivation Single-cell multi-omics assays simultaneously measure different molecular features from the same cell. A key question is how to benefit complementary data available and perform cross-modal clustering of cells. Results We propose S ingle- C ell M ulti- o mics lustering (scMoC), an approach identify cell clusters with co-measurements scRNA-seq scATAC-seq overcome high sparsity by using imputation strategy that exploits less-sparse Subsequently, scMoC identifies cells...