SFINN: inferring gene regulatory network from single-cell and spatial transcriptomic data with shared factor neighborhood and integrated neural network

scINRB: single-cell gene expression imputation with network regularization and bulk RNA-seq data

UFGOT: Unbalanced Filter Graph Alignment with Optimal Transport for Cancer Subtyping Based on Multi-omics Data

iEMNN: An Iterative Integration Method for Single-Cell Transcriptomic Data Based on Network Similarity Enhancement and Mutual Nearest Neighbors

Dfp-Unet: A Biomedical Image Segmentation Method Based on Deformable Convolution and Feature Pyramid

Single-nucleus gene and gene set expression-based similarity network fusion identifies autism molecular subtypes

SRGS: sparse partial least squares-based recursive gene selection for gene regulatory network inference

Shared and Cell-Type-Specific Gene Expression Patterns Associated With Autism Revealed by Integrative Regularized Non-Negative Matrix Factorization

scIAE: an integrative autoencoder-based ensemble classification framework for single-cell RNA-seq data

MOCSC: a multi-omics data based framework for cancer subtype classification

Gene Module Analysis Reveals Cell-Type Specificity and Potential Target Genes in Autism's Pathogenesis

Cell Type-Specific Predictive Models Perform Prioritization of Genes and Gene Sets Associated With Autism

An analytical method for the identification of cell type-specific disease gene modules

Overdispersed gene expression in schizophrenia

Cell Type-Specific Gene Network-Based Analysis Depicts the Heterogeneity of Autism Spectrum Disorder

Human brain cell type-specific gene co-expression associated with autism spectrum disorder

Commonality in dysregulated expression of gene sets in cortical brains of individuals with autism, schizophrenia, and bipolar disorder

Recent advances in mathematical modeling and simulation of DNA replication process