Prediction of single cell gene expression
Learning the relationship between gene-regulatory regions from epigenome and transcriptome data …
Projects
Exploring the regulatory impact of non-coding genetic variants
Overview
SNEEP is a computational method to identify regulatory Single Nucleotide Variants (rSNVs) …
Quality control for imaging-based spatial transcriptomics
Quality control for imaging-based spatial transcriptomics
Imaging-based spatial transcriptomics …
Categorization of Spatial Transcriptomics Methods for Cell-Cell Communication Analysis
Cell–cell communication (CCC) plays a central role in regulating cellular behavior within tissues. …
Enhancer-gene interactions and transcription factor affinities
Enhancer–gene interactions are an important factor in epigenomics because they help to explain how …
MISPIL and/or PCMultiome
We use gene-specific models to predict expression from epigenetic activity and perturb candidate …
Prediction and evaluation of Split open reading frames
The regulation of RNA translation is crucial for maintaining appropriate protein levels within …
Prediction of gene expression from epigenome data
Prediction of gene expression from epigenome data is an important task to link epigenome variation …
A unified single-cell atlas of mouse tissue damage
Single-cell RNA sequencing (scRNA-seq) provides unprecedented insights into cellular responses …