Jingxian Duan

Shenzhen, China

Last Updated: 09/26/2026

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Found 19 publications

Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis.

Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis.

Journal: IEEE journal of biomedical and health informatics

Published: August 07, 2026

Chromatin unwinding state for in situ identification and lineage tracing of circulating tumor cells.

Chromatin unwinding state for in situ identification and lineage tracing of circulating tumor cells.

Journal: iMeta

Published: February 02, 2026

Tubular Lamin- and Emerin-Lined Nuclear Envelope Invaginations Isolate Chromatin Domains for Gene Expression Regulation.

Tubular Lamin- and Emerin-Lined Nuclear Envelope Invaginations Isolate Chromatin Domains for Gene Expression Regulation.

Journal: Sub-cellular biochemistry

Published: September 26, 2025

Machine learning model on multi-omics data enables risk stratification and identifies molecular heterogeneity and therapeutic targets in glioblastoma.

Machine learning model on multi-omics data enables risk stratification and identifies molecular heterogeneity and therapeutic targets in glioblastoma.

Journal: Molecular cancer

Published: September 01, 2025

Discovering proteo-transcriptomic networks via biologically informed heterogeneous graph learning.

Discovering proteo-transcriptomic networks via biologically informed heterogeneous graph learning.

Journal: Nucleic acids research

Published: April 30, 2025

SurvGraph: A hybrid-graph attention network for survival prediction using whole slide pathological images in gastric cancer.

SurvGraph: A hybrid-graph attention network for survival prediction using whole slide pathological images in gastric cancer.

Journal: Neural networks : the official journal of the International Neural Network Society

Published: November 19, 2024

Multimodal fusion of radio-pathology and proteogenomics identify integrated glioma subtypes with prognostic and therapeutic opportunities.

Multimodal fusion of radio-pathology and proteogenomics identify integrated glioma subtypes with prognostic and therapeutic opportunities.

Journal: Nature communications

Published: August 29, 2024

Computational Pathology for Prediction of Isocitrate Dehydrogenase Gene Mutation from Whole Slide Images in Adult Patients with Diffuse Glioma.

Computational Pathology for Prediction of Isocitrate Dehydrogenase Gene Mutation from Whole Slide Images in Adult Patients with Diffuse Glioma.

Journal: The American journal of pathology

Published: September 16, 2023

Imaging-proteomic analysis for prediction of neoadjuvant chemotherapy responses in patients with breast cancer.

Imaging-proteomic analysis for prediction of neoadjuvant chemotherapy responses in patients with breast cancer.

Journal: Cancer medicine

Published: July 05, 2023

A radio-pathologic integrated model for prediction of lymph node metastasis stage in patients with gastric cancer.

A radio-pathologic integrated model for prediction of lymph node metastasis stage in patients with gastric cancer.

Journal: Abdominal radiology (New York)

Published: May 11, 2023

Imaging phenotypes from MRI for the prediction of glioma immune subtypes from RNA sequencing: A multicenter study.

Imaging phenotypes from MRI for the prediction of glioma immune subtypes from RNA sequencing: A multicenter study.

Journal: Molecular oncology

Published: October 28, 2022

Radiomic features from multiparametric magnetic resonance imaging predict molecular subgroups of pediatric low-grade gliomas.

Radiomic features from multiparametric magnetic resonance imaging predict molecular subgroups of pediatric low-grade gliomas.

Journal: BMC cancer

Published: October 25, 2022

Showing 1-12 of 19

Last Updated: 09/26/2026