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A heterogeneous label propagation algorithm for disease gene discovery
Tae Hyun Hwang
,
Rui Kuang
Computer Science and Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
58
Scopus citations
Overview
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Dive into the research topics of 'A heterogeneous label propagation algorithm for disease gene discovery'. Together they form a unique fingerprint.
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Keyphrases
Disease Gene Discovery
100%
Mutual Interaction
100%
Label Propagation Algorithm
100%
Heterogeneous Label Propagation
100%
Interaction-based
85%
Network Propagation
85%
Heterogeneous Networks
42%
Label Propagation
42%
Disease Genes
28%
Cluster Structure
28%
Label Information
28%
New Disease
14%
Disease Phenotype
14%
Disease Association
14%
State-of-the-art Techniques
14%
Semi-supervised Learning
14%
Global Optimal Solution
14%
Global Features
14%
Biclustering
14%
Modular Structure
14%
Single Network
14%
Propagation Algorithms
14%
Regularization Framework
14%
Convex Objective Function
14%
Local Features
14%
Computer Science
Subnetwork
100%
Propagation Algorithm
100%
Heterogeneous Network
25%
Cluster Structure
25%
Semisupervised Learning
12%
Global Optimal Solution
12%
Single Network
12%
Global Feature
12%
local feature
12%
Regularization
12%
Objective Function
12%