Integrated gene Regulation Interpretation System using single-cell multi-omics data.
A novel statistical modeling of transcriptional expression states in single-cell RNA-Seq data
A comprehensive model selection for multi-modal single-cell RNA sequencing data.
An R package for Visualization of Differential Gene Expression
A novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq data
A novel biclustering method for the detection of the repertoire of active gene regulatory signals(GRSs) within each single cell
scGNN: a novel graph neural network framework for single-cell RNA-Seq analyses
A bioconductor package for qualitative biclustering analysis of gene co-expression data
An integrated toolkit for accurate prediction and analysis of cis-regulatory motifs at a genome scale
Integrated Cell-type-specific Regulon Inference Server from Single-cell RNA-Seq.
An integrated platform for long non-coding RNA identification
Integrated RNA-Seq interpretation system for gene expression data analysis
Integrated and systematic views of regulatory DNA motif identification and analyses.
Prediction of Regulatory Motifs from Human ChIP-Sequencing Data using a Deep Learning Framework
A single-cell RNA-Seq database for Alzheimer's Disease
Integrative Methods and Practical Challenges for Single-cell Multi-omics.
Interpretation of differential gene expression results of RNA-Seq data: review and integration.
Application of information theoretical approaches to assess diversity and similarity in single-cell transcriptomics
Clustering and Classification Methods for Single-cell RNA-sequencing Data