Latest News

Women in Technology

Some weeks ago in June, Susanne participated in the workshop "Women in Technology" initiated by Energie AG at FH OÖ, Hagenberg. The main goal of this...

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Viktoria and Sebastian at APRS in Graz

The Austrian Proteomics and Metabolomics Research Symposium (APRS 2017) took place in Graz from September 6th to 8th. Two of our bioinformatics...

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Research Areas

Data Mining
Data Mining

Publications

    Single Molecule Fluorescence Microscopy and Machine Learning for RhesusD Antigen Classification

    Biomolecular Characterization of Putative Antidiabetic Herbal Extracts

    Characterization of the Distance Relationship between Localized Serotonin Receptors and Glia Cells on Fluorescence Microscopy Images of Brain Tissue

    Data-Based Prediction of Sentiments Using Heterogeneous Model Ensembles

    Bioanalytical Characterization of Apple Juice from 88 Grafted and Nongrafted Apple Varieties Grown in Upper Austria

    Variable Interaction Networks in Medical Data

    On the Use of Estimated Tumour Marker Classifications in Tumour Diagnosis Prediction - A Case Study for Breast Cancer

    Using Enhanced Genetic Programming Techniques for Evolving Classifiers in the Context of Medical Diagnosis

    Variables Diversity in Systems Identification Based on Extended Genetic Programming

    Advanced Genetic Programming Based Machine Learning

    Identification and Classification of Objects and Motions in Microscopy Images of Biological Samples Using Heuristic Algorithms

    Analysis of Protein-Protein Interactions in Live Cells - The µ-Patterning Approach

    On the Identification of Virtual Tumor Markers and Tumor Diagnosis Predictors Using Evolutionary Algorithms

    Neural Networks Based Feature Selection in Biological Data Analysis

    Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications

    Prediction del nivel de glucosa en sangre para pacientes con diabetes utilizando tecnicas evolutivas

    Predicting Glycemia in Diabetic Patients By Evolutionary Computation and Continuous Glucose Monitoring

    Data-Based Identification of Prediction Models for Glucose

    A Symbolic Regression Based Scoring System Improving Peptide Identifications for MS Amanda

    Prediction of Mineralization Degree in Human Amniotic Membrane Using Image Processing Techniques and Machine Learning

    Classifying Human Blood Samples Using Characteristics of Single Molecules and Cell Structures on Microscopy Images

    Prediction of Stem Cell Differentiation in Human Amniotic Membrane Images Using Machine Learning

    Classification of the States of Human Adaptive Immune Systems by Analyzing Immunoglobins and T Cell Receptors Using ImmunExplorer

    Mathematical Modeling of the Diversity in Human B and T Cell Receptors Using Machine Learning

    Data Based Prediction of Cancer Diagnoses Using Heterogeneous Model Ensembles - A Case Study for Breast Cancer, Melanoma and Cancer in the Respiratory System

    Evolutionary Identification of Cancer Predictors Using Clustered Data - A Case Study for Breast Cancer, Melanoma, and Cancer in the Respiratory System

    An Integrated Clustering and Classification Approach for the Analysis of Tumor Patient Data Statistical Analysis of the Relationship between Spots and Structures in Microscopy Images

    Cross Classification Approach for Feature Selection

    Identification of Patterns in Microscopy Images of Biological Samples Using Evolution Strategies

    Variable Interaction Networks in Medical Data

    µDetect: Design of a Framework for Optimized Structure Analysis in Fluorescence Microscopy Images

    Analysis of the Relevance of Blood Parameters and Virtual Tumor Markers in Tumor Diagnosis Prediction

    Analysis of Single-Objective and Multi-Objective Evolutionary Algorithms in Keyword Cluster Optimization

    Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling

    Using Query Extension and User Feedback to Improve PubMed Search

    On the Use of Estimated Tumor Marker Classifications in Tumor Diagnosis Prediction - A Case Study for Breast Cancer

    On the performance of evolutionary algorithms in biomedical keyword clustering

    Identification of cancer diagnosis estimation models using evolutionary algorithms: a case study for breast cancer, melanoma, and cancer in the respiratory system

    Feature Selection in the Analysis of Tumor Marker Data Using Evolutionary Algorithms

    Optimization of Keyword Grouping in Biomedical Information Retrieval Using Evolutionary Algorithms

    Classification of Tumor Marker Values Using Heuristic Data Mining Methods

    Heuristische Modellierung der Krankheitsverlaufsdaten von Menschen mit Alzheimer Demenz

    Heuristic Modeling of the Mental Progress of Persons with Normal Brain Aging, Subjective Cognitive Impairment, Mild Cognitive Impairment, Alzheimer's Disease and Related Dementia Disorders

    Analyse von Patientendaten und Evolutionäres Design von Virtuellen Sensoren für Erkrankungen (Analysis of Patient Data and Evolutionary Design of Virtual Sensors for Diseases)

    Using Enhanced Genetic Programming Techniques for Evolving Classifiers in the Context of Medical Diagnosis - An Empirical Study

    Sets of Receiver Characteristic Curves and their Use in the Evaluation of Multi-Class Classification

    Advances in Applying Genetic Programming to Machine Learning, Focussing on Classification Problems

    Automatic Data Based Patient Classification Using Genetic Programming

    A Genetic Programming Based Tool for Supporting Bioinformatical Classification Problems

    Solving Multiclass Classification Problems by Genetic Programming

    Image Analysis
    Image Analysis

    Publications

      Single Molecule Fluorescence Microscopy and Machine Learning for Rhesus D Antigen Classification

      Biomolecular Characterization of Putative Antidiabetic Herbal Extracts

      Characterization of the Distance Relationship between Localized Serotonin Receptors and Glia Cells on Fluorescence Microscopy Images of Brain Tissue

      Quantification and Kinetic Analysis of Grb2-EGFR Interaction on Micropatterned Surfaces for the Characterization of EGFR-modulating Substances

      Identification of Novel Insulin Mimetic Drugs by Quantitative Total Internal Reflection Fluorescence (TIRF) Microscopy

      Analysis of Protein-Protein Interactions in Live Cells - The µ-Patterning Approach

      Prediction of Mineralization Degree in Human Amniotic Membrane Using Image Processing Techniques and Machine Learning

      Classifying Human Blood Samples Using Characteristics of Single Molecules and Cell Structures on Microscopy Images

      Prediction of Stem Cell Differentiation in Human Amniotic Membrane Images Using Machine Learning

      Identification of Endothelial Cell Morphology in Cornea Using Evolution Strategies

      Biophysical and biochemical characterization of insulin-dependent cellular systems in response to secondary plant metabolites

      Statistical Analysis of the Relationship between Spots and Structures in Microscopy Images

      Identification of Patterns in Microscopy Images of Biological Samples Using Evolution Strategies

      µDetect: Design of a Framework for Optimized Structure Analysis in Fluorescence Microscopy Images 

      Contact

      Research Group Bioinformatics

      University of Applied Sciences Upper Austria (FH OÖ)

      Softwarepark 13, 4232 Hagenberg im Mühlkreis, Austria

      Contact Person: Prof.(FH) DI Dr. Stephan Winkler

      Telephone: +43 (0)50804-22720