Jiang Zhang

InClust+: the multimodal version of inClust for multimodal data integration, imputation, and cross modal generation

InClust+ extends the inClust framework to handle multimodal data integration, imputation, and cross-modal generation, showing performance comparable to existing tools.

inClust: a general framework for clustering that integrates data from multiple sources

inClust is a clustering framework that integrates multi-source data using variational autoencoder and vector arithmetic, performing well in various clustering tasks.

scCapsNet: a deep learning classifier with the capability of interpretable feature extraction, applicable for single cell RNA data analysis

scCapsNet is a deep learning model for single-cell RNA data analysis that provides interpretable feature extraction and accurate cell type classification.

scCapsNet-mask: an automatic version of scCapsNet

scCapsNet-mask automates the cell type classification process of scCapsNet by using a mask, maintaining high accuracy and interpretability.

Neural Gene Network Constructor: A Neural Based Model for Reconstructing Gene Regulatory Network

This paper introduces a deep learning model called NGNC to reconstruct gene regulatory networks and infer gene dynamics from time series scRNA-seq data, achieving state-of-the-art results.

MultiCapsNet: a interpretable deep learning classifier integrate data from multiple sources

The paper introduces MultiCapsNet, a deep learning model that integrates diverse data sources with higher interpretability, achieving comparable performance to existing models with fewer parameters.