Skip to main navigation
Skip to search
Skip to main content
University of Copenhagen Research Portal Home
Help & FAQ
Dansk
English
Home
Profiles
Research output
Research units
Press/Media
Activities
Prizes
???studenttheses???
Datasets
Search by expertise, name or affiliation
An evolutionary method for learning HMM structure: prediction of protein secondary structure.
Kyoung-Jae Won
,
Thomas Hamelryck
, Adam Prügel-Bennett,
Anders Krogh
Computational and RNA Biology
41
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'An evolutionary method for learning HMM structure: prediction of protein secondary structure.'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Structure Prediction
100%
Secondary Structure
89%
Protein Structure
87%
Genetic Algorithm
67%
Learning
56%
Predictors
38%
Crossover Operator
30%
Protein Sequence
29%
Estimation Algorithms
26%
Building Blocks
23%
Grammar
22%
Mutation
20%
Update
20%
Neural Networks
19%
Prediction
16%
Calculate
16%
Performance
12%
Standards
11%
Model
6%
Chemical Compounds
Protein Secondary Structure
82%
Mutation
53%
Block Like Crystal
42%
Protein
25%
Medicine & Life Sciences
Secondary Protein Structure
92%
Learning
45%
Mutation
7%
Population
4%
Proteins
4%
Engineering & Materials Science
Proteins
57%
Genetic algorithms
44%
Neural networks
12%