Carsten Peterson
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- 2004
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Mark
Predicting continuous values of prognostic markers in breast cancer from microarray gene expression profiles.
(
- Contribution to journal › Article
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Mark
Genetic networks with canalyzing Boolean rules are always stable
(
- Contribution to journal › Article
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Mark
"Good Old" clinical markers have similar power in breast cancer prognosis as microarray gene expression profilers.
(
- Contribution to journal › Article
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Mark
Genomic signal processing - Editorial
(
- Contribution to journal › Debate/Note/Editorial
- 2003
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Mark
Random Boolean network models and the yeast transcriptional network
(
- Contribution to journal › Article
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Mark
RNA analysis of B cell lines arrested at defined stages of differentiation allows for an approximation of gene expression patterns during B cell development.
(
- Contribution to journal › Article
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Mark
Analyzing tumor gene expression profiles
(
- Contribution to journal › Article
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Mark
Expression profiling to predict outcome in breast cancer: the influence of sample selection
(
- Contribution to journal › Article
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Mark
Matching protein structures with fuzzy alignments
(
- Contribution to journal › Article
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Mark
Microarray-based cancer diagnosis with artificial neural networks
(
- Contribution to journal › Scientific review
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Mark
Potential for Dramatic Improvement in Sequence Alignment against Structures of Remote Homologous Proteins by Extracting Structural Information from Multiple Structure Alignment.
(
- Contribution to journal › Article
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Mark
Computational biology -- opportunities and challenges for theoretical physicists
2003)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Predicting the future of breast cancer.
(
- Contribution to journal › Letter
- 2002
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Mark
Analyzing array data using supervised methods
(
- Contribution to journal › Scientific review
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Mark
Bioarray software environment: a platform for comprehensive management and analysis of microarray data
(
- Contribution to journal › Article
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Mark
Neural Optimization
2002) p.822-827(
- Chapter in Book/Report/Conference proceeding › Book chapter
- 2001
-
Mark
Topological properties of citation and metabolic networks
(
- Contribution to journal › Article
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Mark
An efficient mean field approach to the set covering problem
(
- Contribution to journal › Article
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Mark
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
(
- Contribution to journal › Article
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Mark
Estrogen receptor status in breast cancer is associated with remarkably distinct gene expression patterns
(
- Contribution to journal › Article
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Mark
Using hidden Markov models to characterize disease trajectories
2001) p.324-326(
- Chapter in Book/Report/Conference proceeding › Book chapter
- 2000
-
Mark
Local routing algorithms based on Potts neural networks.
(
- Contribution to journal › Article
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Mark
Airline crew scheduling using Potts mean field techniques
(
- Contribution to journal › Article
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Mark
Folding and design in coarse-grained protein models
(
- Contribution to journal › Article
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Mark
A novel approach to structure alignment
2000) In LU TP 00-07(
- Book/Report › Report
-
Mark
Clustering ECG complexes using Hermite functions and self-organizing maps
(
- Contribution to journal › Article
- 1999
-
Mark
Design of sequences with good folding properties in coarse-grained protein models
(
- Contribution to journal › Article
-
Mark
A confident decision support system for interpreting electrocardiograms
(
- Contribution to journal › Article
- 1998
-
Mark
Monte Carlo procedure for protein design
(
- Contribution to journal › Article
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Mark
A Potts Neuron Approach to Communication Routing
(
- Contribution to journal › Article
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Mark
Intelligent computer reporting 'lack of experience' : A confidence measure for decision support systems
(
- Contribution to journal › Article
- 1997
-
Mark
The electrostatic persistence length calculated from Monte Carlo, variational and perturbation methods
(
- Contribution to journal › Article
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Mark
Airline Crew Scheduling with Potts Neurons
(
- Contribution to journal › Article
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Mark
Identification of amino acid sequences with good folding properties in an off-lattice model
(
- Contribution to journal › Article
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Mark
Local interactions and protein folding : A three-dimensional off-lattice approach
(
- Contribution to journal › Article
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Mark
Automated interpretation of myocardial SPECT perfusion images using artificial neural networks
(
- Contribution to journal › Article
- 1996
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Mark
Titrating polyelectrolytes - Variational calculations and Monte Carlo simulations
(
- Contribution to journal › Article
-
Mark
Variational approach for minimizing Lennard-Jones energies
1996) In Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics 53(2). p.1725-1731(
- Contribution to journal › Article
-
Mark
Scaling and scale breaking in polyelectrolytes
(
- Contribution to journal › Article
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Mark
Blocking technique for emulating very large polyelectrolytes
(
- Contribution to journal › Article
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Mark
A Monte Carlo study of titrating polyelectrolytes
(
- Contribution to journal › Article
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Mark
Evidence for nonrandom hydrophobicity structures in protein chains
(
- Contribution to journal › Article
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Mark
Detection of frequently overlooked electrocardiographic lead reversals using artificial neural networks
(
- Contribution to journal › Article
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Mark
Agreement between artificial neural networks and experienced electrocardiographer on electrocardiographic diagnosis of healed myocardial infarction
(
- Contribution to journal › Article
- 1995
-
Mark
Variational approach to the structure and thermodynamics of linear polyelectrolytes with Coulomb and screened Coulomb interactions
(
- Contribution to journal › Article
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Mark
Artificial neural networks for recognition of electrocardiographic lead reversal
(
- Contribution to journal › Article
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Mark
Assessing cereal grain quality with a fully automated instrument using artificial neural network processing of digitized color video images
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Determining Dependency structures and estimating nonlinear regression errors without doing regression
(
- Contribution to journal › Article
- 1994
-
Mark
Finding the embedding dimension and variable dependencies in time series
(
- Contribution to journal › Article
-
Mark
Predicting System loads with Artificial Neural Networks : Method and Result from "the Great Energy Predictor Shootout"
1994) p.1063-1074(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding