Jingli L. Wu

Key Lab Of Education Blockchain And Intelligent Technology
Guilin, 541004, China

Last Updated: 09/26/2026

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Found 25 publications

Graph-Attentional Deep Sparse Subspace Clustering for Single-Cell Transcriptomics.

Graph-Attentional Deep Sparse Subspace Clustering for Single-Cell Transcriptomics.

Journal: IEEE transactions on computational biology and bioinformatics
Published: September 07, 2026

Identifying Cancer Driver Genes Based on Vision Transformer and Hierarchical Feature Fusion Module.

Identifying Cancer Driver Genes Based on Vision Transformer and Hierarchical Feature Fusion Module.

Journal: IEEE transactions on computational biology and bioinformatics
Published: July 17, 2026

A Competitive Coevolution-based Cancer Driver Pathway Identification Algorithm for Maximizing Coverage, Mutual Exclusivity, and Subnet Importance.

A Competitive Coevolution-based Cancer Driver Pathway Identification Algorithm for Maximizing Coverage, Mutual Exclusivity, and Subnet Importance.

Journal: IEEE transactions on computational biology and bioinformatics
Published: June 23, 2026

Essential Proteins Prediction Using Features Synergy Model and GO Pure Centrality.

Essential Proteins Prediction Using Features Synergy Model and GO Pure Centrality.

Journal: IEEE transactions on computational biology and bioinformatics
Published: June 01, 2026

A Deep Learning Framework for Identifying Essential Proteins Based on Vision Transformer.

A Deep Learning Framework for Identifying Essential Proteins Based on Vision Transformer.

Journal: IEEE transactions on computational biology and bioinformatics
Published: March 03, 2026

Identifying Cancer Driver Genes Using a Neural Network Framework With Cross-Attention Mechanism.

Identifying Cancer Driver Genes Using a Neural Network Framework With Cross-Attention Mechanism.

Journal: IEEE transactions on computational biology and bioinformatics
Published: August 14, 2025

A Deep Learning Framework for Identifying Cancer Driver Genes Based on Transformer and Graph Convolutional Network.

A Deep Learning Framework for Identifying Cancer Driver Genes Based on Transformer and Graph Convolutional Network.

Journal: IEEE transactions on computational biology and bioinformatics
Published: August 14, 2025

Using Multi-Feature Weak Consensus Model to Discover Essential Proteins.

Using Multi-Feature Weak Consensus Model to Discover Essential Proteins.

Journal: IEEE transactions on computational biology and bioinformatics
Published: August 14, 2025

scPEGEnhanced Graph Convolutional Sparse Subspace Clustering Method for scRNA-Seq Data.

scPEGEnhanced Graph Convolutional Sparse Subspace Clustering Method for scRNA-Seq Data.

Journal: IEEE transactions on computational biology and bioinformatics
Published: August 14, 2025

SIGRN: Inferring Gene Regulatory Network with Soft Introspective Variational Autoencoders.

SIGRN: Inferring Gene Regulatory Network with Soft Introspective Variational Autoencoders.

Journal: International journal of molecular sciences
Published: October 04, 2024

scPEDSSC: proximity enhanced deep sparse subspace clustering method for scRNA-seq data.

scPEDSSC: proximity enhanced deep sparse subspace clustering method for scRNA-seq data.

Journal: PLoS computational biology
Published: July 05, 2024

MNMO: discover driver genes from a multi-omics data based-multi-layer network.

MNMO: discover driver genes from a multi-omics data based-multi-layer network.

Journal: Bioinformatics (Oxford, England)
Published: June 29, 2024
Showing 1-12 of 25

Last Updated: 09/26/2026