Mathematics
Random Forest
100%
Biomarkers
88%
Prior Knowledge
80%
Prior Information
77%
Domain Knowledge
76%
Feature Selection
52%
Parameter Tuning
23%
Prediction
15%
Knowledge
14%
Knowledge-based
14%
Archives
14%
Prostate Cancer
13%
Annotation
13%
False Positive
12%
Phenotype
11%
Control Parameter
10%
Integrate
10%
Optimise
10%
Cancer
10%
Computational Methods
10%
Conservation
9%
Gene
9%
Relevance
9%
Signature
9%
Compact Set
9%
Resources
9%
Composite
8%
Linear Model
8%
Background
8%
Regularization
8%
Minimise
7%
Interpretation
6%
Simulation
6%
Range of data
6%
Framework
5%
Subset
5%
Model
3%
Engineering & Materials Science
Biomarkers
85%
Random forests
72%
Feature extraction
30%
Tuning
15%
Computational methods
10%
Conservation
9%
Genes
9%
Set theory
6%
Composite materials
5%
Medicine & Life Sciences
Biomarkers
44%
Forests
23%
Molecular Sequence Annotation
12%
Neoplasm Genes
10%
Prostatic Neoplasms
7%
Linear Models
7%
Weights and Measures
6%
Phenotype
5%
Chemical Compounds
Biological Marker
62%
Marker
8%
Simulation
6%
Weight
5%
Composite Material
4%
Application
3%