Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Search content at Experts@Minnesota
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Datasets
Press/Media
Activities
Fellowships, Honors, and Prizes
Impacts
Module-based biomarker discovery in breast cancer
Yuji Zhang
, Jason J. Xuan
,
Robert Clarke
, Habtom W. Ressom
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
2
Link opens in a new tab
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Module-based biomarker discovery in breast cancer'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Breast Cancer
100%
Biomarker Discovery
100%
Cancer-associated
100%
Biological Networks
100%
Module Base
100%
In Cancer
50%
Network Data
50%
Classification Accuracy
50%
Novel Biomarkers
50%
Functional Modules
50%
Network Level
50%
Feature Combination
50%
Gene Expression Data
50%
Validation Data
50%
Biological Interpretability
50%
Final Set
50%
Network Information
50%
Disease Drivers
50%
Information Expression
50%
Data Resampling
50%
Gene Biomarkers
50%
Ensemble Feature Selection
50%
Functional Biomarkers
50%
Data Open
50%
Selective Features
50%
Feature Select
50%
Breast Cancer Study
50%
High Recognition Accuracy
50%
Feature Selection Framework
50%
Computer Science
Feature Selection
100%
Classification Accuracy
100%
Feature Extraction
100%
Gene Expression Data
50%
Reproducibility
50%
Functional Module
50%
Interpretability
50%
Open Data
50%
Validation Dataset
50%
Biochemistry, Genetics and Molecular Biology
Biomarker Discovery
100%
Feature Extraction
100%
Gene Expression Data
50%