Exploring Mechanisms and Biomarkers of Breast Cancer Invasion and Migration: An Explainable Gene–Pathway–Compounds Neural Network

GPC-Net is among the pioneering deep neural networks that incorporate pathways and compounds, aiming to balance interpretability and performance. It is expected to offer a more convenient approach for future biomedical research.

Authors

Institutions

Publication Details

Journal
Cancer Medicine
Published
2025-03-01
DOI
https://doi.org/10.1002/cam4.70769
Citations
1
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring Mechanisms and Biomarkers of Breast Cancer Invasion and Migration: An Explainable Gene–Pathway–Compounds Neural Network

Ling Qiu, Jie Wu, Dandan Sun, Yichen Ma et al.
1 citations
Cancer Medicine
Bioinformatics and Genomic Networks
0.81
article

Exploring Mechanisms and Biomarkers of Breast Cancer Invasion and Migration: An Explainable Gene–Pathway–Compounds Neural Network

Ling Qiu, Jie Wu, Dandan Sun, Yichen Ma, Xia Qian
article en
1 citations

Abstract

GPC-Net is among the pioneering deep neural networks that incorporate pathways and compounds, aiming to balance interpretability and performance. It is expected to offer a more convenient approach for future biomedical research.

Cancer MedicineVol. 14(6)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 30%
Bioinformatics and Genomic Networks
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.